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Data Releases

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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Data release for Predicting the impacts of future sea level rise on specialist snake species in the imperiled pine rockland ecosystem of South Florida

Approximately 90% of pine rockland habitat in South Florida and the Florida Keys, USA, has been lost, fragmented, and degraded due to urbanization and other anthropogenic disturbances. Low-lying islands and coastal areas are also becoming increasingly vulnerable to sea-level rise and high tide flooding, which is rapidly increasing in frequency, depth, and extent, putting these areas and the pine r

Regeneration trends along climate gradients in Taxodium distichum forest of the southeastern United States, 2007-2019

Data provided are the volumes of cypress cones, collected in the North American Baldcypress Swamp Network along the Mississippi River Alluvial Valley (southern Illinois to southern Louisiana, and Gulf of Mexico, east Texas to west Florida Panhandle, 2007 - 2019.

Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon

During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D magnetotelluic model

Developing bare-earth digital elevation models from structure-from-motion data on barrier islands, Dauphin Island, AL, 2018-2019

This U.S. Geological Survey data release includes bare-earth digital elevation models (DEMs) that were produced by removing elevation bias in vegetated areas from structure-from-motion (SfM) data products for two sites on Dauphin Island, Alabama. These data were collected in the late fall of 2018 and spring of 2019. In addition to the bare-earth DEMs, this data release also includes vegetation mas

Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018-19

Vegetation and elevation survey data were collected in 4-square-meter quadrats via Real-Time Kinematic GPS from September 9, 2018 to April 17, 2019 on Dauphin Island, AL. Vegetation data included total percent herbaceous cover, percent cover by plant species, and mean height of vegetation within the quadrat. The percent cover by species was used to determine the dominant species for the plot.

Raster and vector geospatial data of interpolated groundwater level altitude associated with a groundwater-level map of Fauquier County, Virginia, October - November 2018

This dataset is the product of a geospatial interpolation using groundwater-level data obtained from a U.S. Geological Survey (USGS) synoptic survey of 129 groundwater wells in Fauquier County, VA from October 29 through November 2, 2018 and selected points from the National Hydrography Dataset (NHD). Methodology is detailed in USGS SIR 2022-5014 "Groundwater-level contour map of Fauquier County,

Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping

The Chesapeake Bay Estuary is the largest estuary in the United States and provides habitats for diverse wildlife and aquatic species, protects communities against flooding, reduces pollution to waterways, and supports local economies through commercial and recreational activities. In the Spring of 2018, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Pro

Brown treesnake capture and morphometric data using live mouse- and bird-lure traps on Guam, 2013

We deployed 30 trap stations consisting of three combinations: isolated bird-lure traps, isolated mouse-lure traps, or paired stations to evaluate snake capture as a function of lure. At the paired stations, we included two traps: one bird-lure trap and one mouse-lure trap. All stations were at least 60 meters (m) apart and each of the station treatments was replicated 10 times. Traps at paired st

Camera trap data of Brown Treesnakes at mouse-lure traps on Guam, 2015

Manually photo-processed remote camera trap data of Brown Treesnakes on Guam at snake traps with live mouse lures. Records of snakes entering the field of view (FOV) and exiting the FOV by day, time, and trap location. Photos were further processed to retain only detections of snakes up to 1.83 meters from the camera, i.e., only records of snakes that were on or in front of the mouse-lure trap are

Brown Treesnake morphological and behavioral differences following ingestion of large meals, 2015

Data set resulting from monitoring the behavior of snakes (n = 62) that had been feed a standardized large meal with transmitter, proportional to their body mass, to make direct comparisons to a control group of snakes that had not been fed a meal (only the transmitter). Transmitters were equipped with a two-position switch that changes pulse rate when the body position of the animal changes more

Surveillance and reports of Brown Treesnakes on Saipan, 1980-2020

Available active surveillance efforts for Brown Treesnakes on the island of Saipan via nocturnal visual encounter surveys and trapping from 1999-2018 were collected and summarized into 3 csv files (TRAP1999, BTSRRTSaipanTRAP, and BTSRRTSaipanVISUAL). Location and date of non-confirmed reports of snakes 1982-2013 via passive surveillance were compiled into a fourth file (Saipan BTSSightings1980_202

Brown Treesnake trap captures, Guam National Wildlife Refuge, 2014

Over a 22-week period both with and without active Brown Treesnake (BTS) snake removal, we evaluated snake-trap contact rates at mouse- and bird-lure traps within the Guam National Wildlife Refuge in 2014. Bird-lure traps served as a proxy for reintroduced nesting birds. Data consists of 3 files generated from camera surveillance and trapping using mouse and bird lures in conventional snake traps