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These data were collected to support the development of detection and classification algorithms to support Bureau of Ocean Energy Management (BOEM) studies and assessments associated with offshore wind energy production. There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It includes instructions and files necessary for training, validating, and testing a machine learning detection algorithm. 02_Imagery.zip contains imagery that were collected using a Partenavia P68 fixed-wing airplane using a PhaseOne iXU-R 180 forward motion compensating 80-megapixel digital frame camera with...
These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time period, spanning from 2009 through 2019. The model is run in JAGS via R, the code is publicly available via the U.S. Geological Survey's GitLab (O'Neil et al. 2023). We recommend not making any changes or edits to the tables unless the user is experienced with hierarchical modeling. References: O'Neil, S.T., Coates, P.S., Webster, S.C., Brussee, B.E., Dettenmaier, S.J., Tull, J.C., Jackson, P.J., Casazza, M.L., and Espinosa, S.P., 2023, Code for a hierarchical model of raven densities linked with sage-grouse nest survival...
This dataset consists of one table with annual counts from population plots of Black-legged Kittiwakes and Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.
A raster representing Greater Sage-grouse (hereafter sage-grouse) space-use and lek abundance. A higher pixel value corresponds to a greater amount of likelihood that the area is utilized by sage-grouse. Values are the result of combining a kernel density estimation on lek abundances with a raster representing distance to lek. The kernel density was calculated using maximum lek abundances observed between the most recent population nadir for the Great Basin region (2013) and the most recent lek counts available (2021). Polygons representing high-space use areas of Greater Sage-grouse (hereafter sage-grouse) space-use and lek abundance. Areas represent the 85 percent isopleth of the abundance and space-use index...
FY2010In addition to regional Science and Traditional Ecological Knowledge projects that the Great Basin LCC (GBLCC) supports, GBLCC staff lend technical expertise to a range of projects and have contributed to important regional publications on a range of subjects. These publications range in type from textbooks, to management-oriented science and conservation plans, to scientific papers and have covered subjects like wind erosion following fire, soil microbiota response to drought, plant community resilience to invasive species, and alpine plant communities. In many cases these publications form foundations for scientifically-informed management strategies across the Great Basin.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Conservation Design,
Conservation Planning,
Data Acquisition and Development,
Federal resource managers,
This data package contains location data collected by the Argos System (CLS America, Inc.) from satellite transmitters attached to 116 Lesser Yellowlegs captured at multiple sites across their breeding and nonbreeding range in North America, 2018-2021. The raw data were processed to accomplish two goals: 1) flag implausible location and 2) remove locations within Joint Base Elmendorf-Richardson (JBER) and Eielson Air Force Base boundaries. Removal of locations in military land boundaries is required due to federal guidelines by Department of Defense (DoD) Public Affairs office and DoD Partners in Flight. Due to data sharing constraints of participating agencies, not all the locations (i.e., latitude and longitude)...
The imagery and annotations presented here were generated while testing an aerial photographic survey design to improve repeatability, transparency, and estimation of variance for annual population estimates of geese staging at Izembek Lagoon, Alaska. This dataset includes 1) 131,031 .JPG images captured from a small fixed-wing occupied aircraft, usually at an altitude of about 457 m, over Izembek Lagoon; 2) annotations of objects (geese, ducks, and gulls) assigned by an automated algorithm, and 3) manually corrected annotations that were edited by project staff for only those photos automatically identified as containing geese of any species. The photos were captured at predetermined points to systematically sample...
Rasters representing Greater Sage-grouse (hereafter sage-grouse) habitat selection indices (HSI), habitat selection categories, HSI combined with space-use, and example management categories. Researchers with the U.S. Geological Survey, in close cooperation with multiple state and federal resource agency partners, sought to map sage-grouse distribution and produce example habitat designations in these states. Herein, we report results of our primary study objective, which was to map sage-grouse distribution and create example habitat management and priority designations, based on more than a decade of location and survival data collected from marked sage-grouse across the study region.
Chronic Wasting Disease distribution in the United States by state and county (ver. 2.0, April 2024)
Chronic Wasting Disease (CWD) is a fatal, contagious, neuro-degenerative disease affecting multiple members of the Family Cervidae. First detected in 1967, the disease has, as of April 2024, been documented in free-ranging and/or captive cervid populations in 33 states, five Canadian provinces, the Republic of South Korea, Norway, Sweden, and Finland. The data provided here contains information on the known, available, documented distribution of CWD in the United States that is current as of the publication date. The USGS National Wildlife Health Center (NWHC) tracks changes to the known distribution of CWD in the form of a map (available on the NWHC website at https://www.usgs.gov/centers/nwhc/science/expanding-distribution-chronic-wasting-disease....
Categories: Data,
Data Release - Revised;
Types: Citation;
Tags: Alabama,
Alaska,
American Samoa,
Arizona,
Arkansas,
This dataset consists of one table with annual nesting productivity estimates for Black-legged Kittiwakes and Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.
A raster identifying areas that met the criteria to be priority habitat before a fire disturbance occurred. This file is binary, a value of 1 indicates the pixel represents pre-fire priority habitat, a value of 0 indicates the pixel did not meet the criteria of selection, survival, and space-use to be considered pre-fire priority habitat.
Rasters representing median raven density estimates, calculated from approximately 28,000 raven point count surveys conducted between 2009 and 2019. Estimates were the result of a Bayesian hierarchical distance sampling model, using environmental covariates on detection and abundance.
These data are the results of a spatially interpolated integrated population model (SIIPM) fit to count and demographic data collected from populations of Greater Sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) located in Nevada, U.S.A. during 2013-2021. We used a novel framework, using integrated population models (IPMs), to express demographic relatedness among sampled and unsampled populations using geographic principles of spatial autocorrelation (Shepard, 1968; Tobler, 1970). Specifically, the framework pairs relatively inexpensive population count data with spatially interpolated demographic estimates. When conducted within a Bayesian framework, spatially interpolated demographic parameters...
Rasters representing Greater Sage-grouse (hereafter sage-grouse) survival indices and categories during the nesting, early brood, and late brood life stages. A higher pixel value corresponds to a better chance of survival. The four categories of survival are very low, low, moderate, and high. We have also included rasters representing source and sink habitats for sage-grouse. Habitat sinks occur in areas of maladaptive habitat selection, where there are relatively high levels of selection, but low chance of survival. Source habitats were defined as any pixel that supported both high selection and high survival for a given life stage. Importantly, a given pixel was only considered source habitat if it was not sink...
These data describe observations of sea otter foraging behavior in Glacier Bay National Park and Preserve. Data consist of dive and surface times, success in prey retrieval, prey item, prey quantity, and size. Additionally, location of observations, and age class, sex, and pup status of the focal sea otter were also recorded.
This dataset consists of one table with egg predation data from Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.
Adirondack Inventory & Monitoring (AIM) Network is a project within the AMMonitor community, which features projects that monitor wildlife and ecosystems with remotely deployed monitoring devices. Devices that capture media typically include trail cameras (photos, video) and/or autonomous recording units (audio). As with all AMMonitor projects, Adirondack Inventory & Monitoring (AIM) Network utilizes an AMMonitor SQLite database to track wildlife monitoring data in a standardized format, permitting cross-project collaboration. The monitoring data are released to the public in "volumes". Releases include the raw media files and their metadata, including the date, time, and location of media capture. Additional attachments...
We expanded developed methodology to incorporate habitat selection and survival during reproductive life stages and specific seasons with updated greater sage-grouse location and known fate datasets. We included brood-rearing areas that are understood to be threatened and important for population persistence. We combined predictive habitat map surfaces for each life stage and season with updated information on current occupancy patterns to classify habitat based on its suitability and probability of occupancy. We performed additional steps to delineate example habitat management areas, specifically: (1) incorporated corridors connecting key nesting and brood-rearing habitat; (2) corrected outputs for pre-wildfire...
These data are part of the Gulf Watch Alaska (GWA) long-term monitoring program and describe mussel sampling and observations conducted in the northern Gulf of Alaska. This dataset consists of six comma separated files (.csv): 1) mussel sampling site layout information, 2) mussel counts for mussels greater than 20 millimeters in a quadrat, 3) mussel size measurements for mussels greater than 20 millimeters in a quadrat, 4) mussel counts for all mussels collected from core samples, 5) mussel size frequencies for all mussels collected from core samples, and 6) list of Gulf Watch Alaska principal investigators and collaborators.
Indiana Dunes National Park is a project within the AMMonitor community, which features projects that monitor wildlife and ecosystems with remotely deployed monitoring devices. Devices that capture media typically include trail cameras (photos, video) and/or autonomous recording units (audio). As with all AMMonitor projects, Indiana Dunes National Park utilizes an AMMonitor SQLite database to track wildlife monitoring data in a standardized format, permitting cross-project collaboration. The monitoring data are released to the public in “volumes”. Releases include the raw media files and their metadata, including the date, time, and location of media capture. Additional attachments at the volume level include human-...
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