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ROOT _ScienceBase Catalog __Upper Midwest Environmental Sciences Center (UMESC) ___Upper Midwest Environmental Sciences Center Data ____Birds, Bats, Insects, Amphibians Filters
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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,
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...
The dataset contains sequencing read counts of fish prey eDNA metabarcoding (using primers targeting the 16S rRNA mitochondrial gene) that were extracted from fecal and cloacal swab samples collected from common loons (Gavia immer) captured on the Whitefish Chain of Lakes, Crow Wing County, Minnesota during 2015-2106. Sample type (cloacal or fecal); loon identification, age, and sex; capture date and location; and prey detections for each sample are provided.
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 2023 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 success, total...
Categories: Data;
Tags: Artificial Nest Platform,
Common Loon,
Deepwater Horizon Oil Spill,
Gavia immer,
Loon Productivity,
This data set contains information on detections of anuran (i.e., frogs and toads) species at six different management areas in the midwestern United States from 2002 to 2012. From 2002 to 2005 anuran communities were surveyed during the day using multiple methods at individual study wetlands—visual encounter surveys, dip net surveys, and calling surveys using multiple observers in most cases. Data are presented from each survey. From 2008 to 2012 amphibian communities were surveyed through detections of vocalizing anurans recorded by automated recording units. Automated recording units recorded five minutes at the top of every hour for the entire field season (typically April through October). Recorder data are...
These data are comprised of geo-located breeding season occurrences of Blue-winged Warblers (Vermivora cyanoptera) and Golden-winged Warblers (Vermivora chrysoptera) in North America, 1963-2021. These data were collated from eBird (Cornell Lab of Ornithology) and the North American Breeding Bird Survey (US Geological Survey).
Categories: Data;
Tags: Biological Occurrence,
North America,
USGS Science Data Catalog (SDC),
Vermivora,
Wildlife Biology,
This code describes graphical and analytical comparisons between monarch butterfly survey data collected during summer breeding, fall migration, and winter.
Categories: Data;
Tags: Danaus plexippus,
Ecology,
Land Use Change,
Monarch Butterfly Biosphere Reserve,
USGS Science Data Catalog (SDC),
This dataset is a collection of cropped avian images that pair with species identification annotation values.
The data details common loon locations based on archival geolocator tag information, characteristics of common loon dives during wintering, and common loon locations based on telemetry data. Satellite transmitters (Model PTT-100, Microwave Telemetry, Inc) were implanted in 31 adult male (marked during July 2010 and July 2011) and 27 juvenile (marked during August 2014 and August 2015) common loons that were captured on breeding lakes in Minnesota, Wisconsin, and the Upper Peninsula of Michigan. The satellite transmitters were programmed to transmit on a variable schedule based on the anticipated stage of migration during the loon’s annual cycle. We utilized the most accurate locations per 8-hour transmission period...
Categories: Data,
Data Release - Revised;
Tags: Atlantic Ocean,
Gavia immer,
Gulf of Mexico,
Minnesota,
USGS Science Data Catalog (SDC),
This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. The code relies on the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv.
Categories: Data;
Tags: Cave-hibernating bats,
Disease spread,
Epidemiology,
Gaussian process,
Pseudogymnoascus destructans,
This code supports the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." The code is used to fit Gaussian process models to publicly accessible monitoring data on the spread of white-nose syndrome in North America. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. Also contained in the code is a retrospective cross validation experiment, producing parameter estimates and model scoring over time. The code also relies on the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv. Shapefiles such as administrative...
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