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This dataset comprises GPS location analyzed in Lamb et al. (2017): 165,562 deployed GPS locations, for 81 Eastern brown pelicans (25 in Florida, 27 in Louisiana, and 29 in Texas) tracked from 2013-04-24 to 2016-02-05. Funding for this study was provided by the Bureau of Ocean Energy Management and U.S. Geological Survey (Interagency Agreement no. M12PG00014). The Eastern Brown Pelican (Pelecanus occidentalis carolinensis) is a large-bodied seabird that nests in colonies of 10 to upwards of 5,000 pairs, on nearshore barrier islands in subtropical and tropical North American waters. It breeds between March and August, laying 2–3 eggs and raising 1–2 chicks per year. The species is facultatively migratory during...
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The dataset contains 3 components: (1) acceleration data logger (ADL) data, (2) GPS location data, and (3) body temperature data. We have ADL data from pythons in captivity (N = 2) and in free-ranging snakes (N=4). We have GPS data for 3 out of 4 free-ranging snakes. We have body temperature data for all 4 free-ranging snakes.
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These data represent an annotated training data for machine learned life history classification of the daily activity of dabbling ducks (f. Anatidae sf. Anatinae) using hourly GPS data. Each row of data represents a single GPS location for one of 5 species of dabbling duck. Note: the machine learned model was developed to be general across sf. Anatinae and does not include specific reference to the species included. That information is obtainable from the point of contact upon request. Each data record contains unique identifiers for individual bird, individual date of locations for an individual bird, and for individual location. Each record contains spatial, temporal and associated habitat information. Each record...
Distribution, movements, and habitat use of 10 wild adult razorback suckers (Xyrauchen texanus) were examined in Lake Mohave, Arizona-Nevada, from November 1994 through July 1997. Movement rates (0.00?17.35 km d?1) and ranges (x?= 39 km) were similar to those for riverine populations. All study fish returned to spawning sites used in previous years, but they also visited other spawning areas. Spawning females were significantly (P = 0.031) more active than males (480 vs. 87 m d?1) and moved substantial distances between spawning sites during peak reproduction (1?28 February). Fish became most active (m d?1, km month?1) after spawning and moved to areas known to support higher algal production. Fish were typically...
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Bull trout (Salvelinus confluentus), listed as threatened under the Endangered Species Act, are among the more thermally sensitive of coldwater species in North America. The Boise River upstream of Arrowrock Dam in southwestern Idaho (including Arrowrock Reservoir) provides habitat for one of the southernmost populations of bull trout. The presence of the species in Arrowrock Reservoir poses implications for dam and reservoir operations. From 2011 to 2014, the Bureau of Reclamation and the U.S. Geological Survey collected fish telemetry data to improve understanding of bull trout distribution and movement in Arrowrock Reservoir and in the upper Boise River tributaries. The U.S. Geological Survey compiled the telemetry...


map background search result map search result map Geodatabase Containing Bull Trout (Salvelinus confluentus) Information from the Upper Boise River, Southwestern Idaho GPS tracking of Brown Pelican in the northern Gulf of Mexico (2013-2016) - Location data Burmese python acceleration and location data, Everglades National Park, 2010 – 2012 Hourly GPS Locations, Associated Habitat Condition, and Annotated Life History State for Training Machine Learned Models of Waterfowl Daily Activity Burmese python acceleration and location data, Everglades National Park, 2010 – 2012 Geodatabase Containing Bull Trout (Salvelinus confluentus) Information from the Upper Boise River, Southwestern Idaho GPS tracking of Brown Pelican in the northern Gulf of Mexico (2013-2016) - Location data Hourly GPS Locations, Associated Habitat Condition, and Annotated Life History State for Training Machine Learned Models of Waterfowl Daily Activity