Luke J Fara

Code, imagery, and annotations for training a deep learning model to detect wildlife in aerial imagery

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...

Tags: Cape Cod, Information Sciences, Lake Michigan, USGS Science Data Catalog (SDC), Wildlife Biology, All tags... biota, birds, datasets, deep learning, oceans, remote sensing, wildlife, Fewer tags

Lake Michigan Sea Duck Survey 2009-2014

These data contain observation and null polygons for waterfowl aerial surveys of Lake Michigan collected through the years 2009-2014. Polygons were created adjacent to either side of the flight lines (transects). The right and left offset of the polygons from the flight path, was determined using the average altitude of the plane along the transect and the observation angle through the plane’s window. Observed birds were counted and identified by species. This count data was attributed to the polygon closest to the point along the transect where the observation occurred, and on the side of the plane in which the observation took place. The point data represent counts where each point represents a single species....

Tags: Environmental Health, Lake Michigan, USGS Science Data Catalog (SDC), Wildlife Biology, Wildlife Disease, All tags... biota, birds, Fewer tags

Common loon winter dive data

Breeding common loons for the movement and foraging pattern study were obtained from lakes in central and northern Minnesota and Wisconsin, and the Upper Peninsula of Michigan. Both adults of a territorial pair were fitted with archival geolocator tags (Model LAT 2500; 34.6 x 8.3 mm, 4.4 g; Lotek Wireless Inc.). A combination of adhesive and plastic cable ties were used to affix the geolocator tag to a modified lock-on aluminum leg band. Tags were programmed to collect daily location estimates for up to two years, tag temperature (0.02o C accuracy, ≤ 0.05o C resolution) at 30-min intervals, and pressure data (±1% accuracy, 0.05% resolution) at 20-sec intervals during daylight hours to document foraging patterns...

Categories: Data; Tags: Atlantic Ocean along southeastern states, Gulf of Mexico, archival geolocator tag, biota, common loon, All tags... dive attributes, foraging patterns, none, Fewer tags

Common loon winter archival geolocator tag location data

Breeding common loons were obtained for the movement and foraging pattern study from lakes in central and northern Minnesota and Wisconsin, and the Upper Peninsula of Michigan. Both adults of a territorial pair were fitted with archival geolocator tags (Model LAT 2500; 34.6 x 8.3 mm, 4.4 g; Lotek Wireless Inc.). A combination of adhesive and plastic cable ties were used to affix the geolocator tag to a modified lock-on aluminum leg band. Tags were programmed to collect daily location estimates for up to two years, tag temperature (0.02 oC accuracy, ≤ 0.05 oC resolution) at 30-min intervals, and pressure data (±1% accuracy, 0.05% resolution) at 20-sec intervals during daylight hours to document foraging patterns...

Categories: Data; Tags: Atlantic Ocean, Gavia immer, Great Lakes, Gulf of Mexico, Minnesota, All tags... Southeastern U.S., Upper Midwest, Upper Penninsula of Michigan, Wisconsin, archival geolocator tag, biota, common loon, migratory birds, none, species biology, wintering areas, Fewer tags

Summary of Detection Data for Breeding Common Loons in North-central Minnesota (2021-2022) (ver. 1.1, August 2024)

The Deepwater Horizon oil spill caused extensive injury to natural resources in the Gulf of Mexico, and Gavia immer (common loon) were negatively affected from the spill. The Open Ocean Trustee Implementation Group funded the project Restoration of Common Loons in Minnesota to restore common loons lost to the spill. In 2020–21, study lakes in an eight-county region in north-central Minnesota were identified to focus project activities. In 2021 and 2022, surveys were conducted on these lakes to monitor common loon territory occupancy, nest success, and chick survival. This dataset includes a summary of total number of artificial nesting platforms (ANP), total number of ANP and natural nests, ANP and natural nest...

Categories: Data, Data Release - Revised; Tags: Artificial Nest Platform, Common Loon, Deepwater Horizon Oil Spill, Gavia immer, Loon Productivity, All tags... Minnesota, Nest Success, Restoration, USGS Science Data Catalog (SDC), biota, Fewer tags