Data

We analyzed the single nucleotide polymorphisms (SNPs) present in the genomes of moose representing 3 subspecies in the contiguous United States. Blood samples were collected opportunistically from collaborators during field efforts or were supplied to our lab from collaborators' archives, and represented moose sampling occurring between 2009-2017. DNA was extracted, sequenced using next generatio

Environmental DNA water samples were collected in the Greater Everglades Ecosystem between May 20-22, 2019 and analyzed to estimate Burmese python (Python bivittatus) occurrence. Twenty-eight sites were sampled in the Greater Everglades Ecosystem, with 5 field replicate samples per site, for a total of 140 water samples collected. Python eDNA was detected at 25 of the 28 sampling sites using Dropl

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

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.

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

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.

EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of environmental factors and CSSS presence. Using hydrologic conditions such as mean 4-year hydroperiod and maximum depth, fire occurrence history, and vegetation structure throughout the range of CSSS, EverS

The data were collected by U.S.G.S. biologists and their partners during several field trips from March 2013 to April 2014 in Guantanamo Bay, Cuba. Data were collected during the manatee health assessments. The U.S. Geological Survey's Sirenia Project is a federal research effort focusing on manatee biology and ecology with a long history of studies in the U.S., Puerto Rico, and the international

Red lionfish (Pterois volitans) have become a successful invasive predator across the Northwestern Atlantic, Caribbean, and Gulf of Mexico (GoM). Previous investigations have identified the southeast coast of Florida as the original site of introduction, but no region-wide genetic study has directly addressed the question of introduction location(s). This dataset includes previously unpublished re

Stable carbon and nitrogen isotope data from green turtles sampled at Dry Tortugas National Park, FL. Dataset includes: date collected, length, tissue type, percent of isotopes, calculated values of isotopes.

Tagging information, including migration and foraging behavioral data, for female reproductive loggerhead marine turtles (Caretta caretta) that were satellite tagged at nesting beaches at Gulf Shores (Alabama [AL]), Dry Tortugas National Park (DRTO, Florida [FL]), and Everglades National Park (ENP, FL) from 2011–2019. Variables include the tagging date, tagging site, the curved carapace length-not

This USGS Data Release represents geospatial data sets which were created to produce an Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the conterminous United States (2014-2018). The following listed image products were generated 1) Annual spatial datasets (rasters) from 2014 to 2018 each containing 4 bands (Band 1: Unvegetated land fraction; Band 2: Vegetated land fraction; Band 3: