Data Releases

The Everglades Vulnerability Analysis (EVA) is a series of connected Bayesian networks that models the landscape-scale response of indicators of Everglades ecosystem health to changes in hydrology and salinity on the landscape. Using the uncertainty built into each network, it also produces surfaces of vulnerability in relation to user-defined ‘ideal’ outcomes. This dataset includes the code used

This data is measurements of the temperature inside prairie dog burrows. The data were recorded every half hour during May, June, and August of 2016 and 2017 in New Mexico, Colorado, South Dakota, North Dakota, and Montana.

Adult AG129 mice (129/Sv background deficient in alpha/beta interferon (IFN-α/β) and IFN-Ɣ receptors) were infected with recombinant Monkeypox virus (MPXV)expressing firefly luciferase by either intranasal (IN) or intraperitoneal (IP) routes. Experimental infections were conducted in a BSL-3 laboratory at the USGS National Wildlife Health Center, with a clade II MPXV that expresses firefly lucifer

We depict changing eruptive features within the summit caldera of Kilauea volcano, Island of Hawai'i with rapid-response digital elevation models (DEMs) acquired since a series of caldera-filling effusive eruptions began on December 20, 2020. These eruptions follow the caldera collapse of 2018, with new lava progressively filling the approximately 1-cubic-kilometer pit that formed between May and

Saskatchewan Ministry of Energy and Resources Reservoir Data (1963 – 1998) was obtained from the Saskatchewan Ministry of Energy and Resources in 2000 and was used in a historical and potential reserve growth study completed by Mahendra Verma and Mitchell Henry, U.S. Geological Survey. It is a collection of manually entered historical oil and gas reservoir data from 1963 – 1983, and digital copies

The Louisiana Department of Natural Resources’ (LaDNR) Strategic Online Natural Resources Information System (SONRIS) is a repository for recent (1930–present) well information that includes date of completion, well construction, geology, and water level. Well information is provided by the well drillers during the permitting process and is updated regularly by LaDNR. This data set consists of wel

These data support a sap flow study, as represented by dual temperature differentials between heated and unheated probes inserted into trees. Data are from two separate field sites, with five tree species recorded every 30 minutes during the time periods of June 29 to August 24, 2008, and March 5 to June 1, 2009. Data were collected from a longleaf pine plantation (Pinus palustris) and a floodplai

This data release provides bathymetric change grids of four geographic areas of San Francisco Bay, California, comparing digital elevation models (DEMs) created from bathymetric data collected in the 1970s and 1980s with DEMs created from bathymetric data collected in the 2010s and 2020. These types of change analyses can provide information on the quantities and patterns of erosion and deposition

This data set includes information on collections of surface water and fecal samples from wild gulls (Larus spp.) at two locations on the Kenai Peninsula, Alaska, USA. Samples were screened for Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae) and tested for resistance to multiple antibiotics.

Elevation projections from the WARMER-Mangroves model for J N. "Ding" Darling National Wildlife Refuge across a range of sea-level rise scenarios (53, 115, and 183 cm by 2100). The model was calibrated using dated soil cores sampled from the basin hydrologic zone. These data support the following publication: Buffington, K.J., Thorne, K.M., Krauss, K.W., Conrad, J.K., Drexler, J.Z., and Zhu, Z.,

Accurate elevation data in coastal ecosystems are crucial for understanding vulnerability to sea-level rise. Lidar has become increasingly available; however, in tidal wetlands such as mangroves and salt marsh, vertical bias from dense vegetation reduces accuracy of the delivered 'base earth' products. To increase accuracy of elevation models across south Florida, we applied the LEAN technique to

Monitoring change in genetic diversity in wildlife populations across multiple scales could facilitate prioritization of conservation efforts. We used microsatellite genotypes from 7,080 previously collected genetic samples from across the greater sage-grouse (Centrocercus urophasianus) range to develop a modelling framework for estimating genetic diversity within a recently developed hierarchical