The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Guam automated radio telemetry network test data 2021
A major advancement in the use of radio telemetry has been the development of automated radio tracking systems (ARTS) which allow animal movements to be tracked continuously. A new ARTS approach is the use of a network of simple radio receivers (nodes) that collect radio signal strength (RSS) values from animal-borne radio transmitters. However, the use of RSS-based localization methods in wildlif
Aerial surveys of shorebirds at pre-migratory staging sites in western Alaska, 2018-2019
These data are in one table and document the numbers of four species of shorebird counted during aerial surveys of coastal sites in western Alaska. Survey regions encompassed coastline between the mouths of the Kuskokwim and Yukon rivers, and the northern coast of the Alaska Peninsula from the mouths of the Kvichak and Naknek Rivers to Nelson Lagoon. Surveys were flown from 7-9 September 2018 and
Point Sampling Data from Eelgrass (Zostera marina), Seaweeds and Selected Invertebrates at Six Embayments and Two Islands at the End of the Alaska Peninsula
This dataset is from surveys for the abundance and distribution of eelgrass and seaweeds that were made at six embayments and two offshore islands at the southwestern end of the Alaska Peninsula in August-September 2012. The five tables provide information on percent cover and location of eelgrass and seaweeds, presence and absence of selected invertebrates, locations of eelgrass genetic samples,
Thin section images of hand samples from the Crocodile Lake and Cucumber Lake Intrusions, Duluth Complex, Minnesota
This dataset includes photographic images of thin sections created from hand samples collected from the Crocodile Lake and Cucumber Lake Intrusions, Duluth Complex, Minnesota, along with a shapefile representing the locations of the samples. The samples were collected in order to define copper-nickel-platinum-group element resources associated with the Crocodile Lake and Cucumber Lake Intrusions i
Thin section images of drill core and hand samples from the South Kawishiwi Intrusion, Duluth Complex, Minnesota
This dataset includes photographic images of thin sections created from hand samples and drill core sourced from the South Kawishiwi Intrusion, Duluth Complex, Minnesota, along with two shapefiles representing the locations of the samples and drill hole collars. The samples were collected and core was drilled in order to define copper-nickel-platinum-group element resources associated with the Sou
Gridded Data from a 2011 Multibeam Bathymetric Survey of the Western Part of Passage Canal, Near Whittier, Alaska
This data release provides bathymetry data for the western part of Passage Canal, near Whittier Alaska. It was collected by the USGS Pacific Coastal and Marine Science Center in 2011 under Field Activity Number A0111GA. The data release consists of a 5 m grid, derived from processed and cleaned multibeam data. Depths were corrected for tidal variations and calculated using conductivity, temperatur
Magnetotelluric Data from the Gabbs Valley Region, Nevada, 2020
This data set consists of 59 wideband magnetotelluric (MT) stations collected by the U.S. Geological Survey in July and August of 2020 as part of a 1-year project funded by the Energy Resources Program of the U.S. Geological Survey to demonstrate full crustal control on geothermal systems in the Great Basin. Each station had 5 components, 3 orthogonal magnetic induction coils and 2 horizontal orth
San Francisco Gartersnake (Thamnophis sirtalis tetrataenia) Genomic and Demographic Data from San Mateo County and Northeastern Santa Cruz County Collected Between 2016 - 2018
Conversion and fragmentation of wildlife habitat often leads to smaller and isolated populations and can reduce a species' ability to disperse across the landscape. As a consequence, genetic drift can quickly lower genetic variation and increase vulnerability to extirpation. For species of conservation concern, quantification of population size and connectivity can clarify the influence of genetic
Land surface thermal feature change monitoring in urban and urban wild land interface (ver. 3.0, August 2020)
We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in selected metropolitan areas in the United States by using Landsat surface temperature product in a time series manner. Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature and change from 1985 to the current. These data were used to calculate the tempera
Data for Characterization of Ambient Groundwater Quality within a State-wide, Fixed Station Monitoring Network in Pennsylvania, 2015-2019
This dataset contains quality-assurance and quality-control data (QA/QC) not publicly available in the online National Water Information System (NWIS) for the Pennsylvania Groundwater Monitoring Network collected by the U.S. Geological Survey (USGS) in Pennsylvania, 2015-2019. The quality-control data (such as blanks and replicates) were collected at a subset of sites to ensure that the data meets
CAST Data Input Disaggregation from County and Land-River Segment Scale to National Hydrography Dataset Plus V. 2.0
The detrimental effects of excess nutrients and sediment entering the Chesapeake Bay estuary from its watersheds have necessitated regulatory actions. Federally-mandated reductions are apportioned to bay jurisdictions based on the U.S. Environmental Protection Agency's Chesapeake Bay Time-Variable Watershed Model (CBPM). The Chesapeake Assessment Scenario Tool (CAST version CAST-19; cast.chesapeak
Groundwater levels and other covariates useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain, 1990–2019
Groundwater-level data, in conjunction with attendant metadata and covariates (predictor variables) data, for the Mississippi River Valley alluvial aquifer (MRVA) are used to support statistical and process-based numerical modeling. This page represents a collection of groundwater-level data within the expanse of the Mississippi Alluvial Plain (MAP) (Painter and Westerman, 2018) and are derived fr