Data

The U.S. Geological Survey (USGS) Oregon Water Science and Forest and Rangeland Ecosystem Science Centers have developed a spatial database of the stream network in the Willamette River Basin classified by degree of obstruction to fish passage. This effort was funded by the USGS Ecological Flows program in cooperation with the Integrated Water Availability Assessments in the Willamette...

These data contain located day-roosts for the northern long-eared bat (Myotis septentrionalis) at the North River Game Land, North Carolina in May and June of 2019. Data contained include individual bat tracked, date day-roost was found, day-roost unique ID, geographic coordinates of day-roost, tree species of day-roost, diameter breast height (cm) of day-roost, day-roost decay-stage...

Carolina northern flying squirrel presence and pseudo-absence points for eight high elevation North Carolina, Tennesse, and Virginia red spruce-Fraser fir forests. Data includes corresponding habitat variables (distance to spruce-fir forest, northern red oak forest, northern hardwood forest, open areas) and topographic variables (elevation, topographic exposure index, aspect), latitude...

This dataset is associated with a study that sought to determine if large woody debris would be an effective, low-cost method of stream restoration in urban headwater streams. The data were collected before and after large woody debris was added to Cooper Creek, an urban headwater stream in Cincinnati, OH. The data were collected in four 60-meter reaches, which included two treatment...

This dataset includes five-years (2000 to 2004) of capture-mark-recapture data for male Espadarana prosoblepon dataset before Batrachochytrium dendrobatidis (Bd) arrived in September 2004 in El Copé, Panama, along with a five-year (2010 to 2014) post-outbreak capture-mark-recapture dataset for male E. prosoblepon in the same population. Citation for associated manuscript DiRenzo, G. V...

This release contains data from two parts of a project investigating the impacts of Wild Hogs on native wildlife. The first is a summary of Point Count Survey Data conducted during the summers of 2023 and 2024 to evaluate the impacts of hog presence and damage on the distribution of the avian community. The second part of the data release is DNA metabarcoding diet data from wild hogs...

Capture locations for pygmy rabbits (Brachylagus idahoensis) in Rich County Utah. These records contain capture records for rabbits in 3 allotments in Rich County, Utah during 2006-2008. Basic morphological data were collected at the time of capture. Some rabbits recorded here are part of a telemetry study (https://doi.org/10.5066/P147ZKDU.).

R code to analyze these data to estimate proportion of hens with poults and poults per brood, and estimate temporal trends in proportion of hens with poults is available at https://doi.org/10.5066/P14VYTVN. The state wildlife agencies in Maryland, New Jersey, New York, Ohio, Pennsylvania, Virginia, and West Virginia collected observations of wild turkeys during June-August, 2000-2023...

We used mesocosms to evaluate the effects of drought on Nothonotus moorei (Yellowcheek Darter) and Nothonotus juliae (Yoke Darter) survival, growth, and behavior. Survival was low and did not differ between treatments. Yoke Darters gained mass in control treatments, whereas Yellowcheek Darters did not differ between treatments. Habitat-use varied between treatment and species, with...

This dataset accompanies manuscripts "Effects of sagebrush treatments on multi-scale resource selection by pygmy rabbits" (https://doi.org/10.1002/jwmg.51) and "Spatial ecology of refuge selection by an herbivore under risk of predation" (http://dx.doi.org/10.1890/ES11-00247.1). It is a single table that includes telemetry locations for 16 pygmy rabbits (Brachylagus idahoensis). The...

We synthesized existing literature to develop this dataset which relates suspended sediment concentration and exposure duration to biological effects on fishes. Our dataset contains a total of 3,610 dose-response data triplicates consisting of (a) suspended sediment concentration, (b) duration of exposure, and (c) fish severity of ill effects (SEV). There is no original data in the...

Autonomous recording units are increasingly being used to monitor wildlife on large geographic and temporal scales, paired with machine learning (ML) to automate detection of wildlife. However, false positive detections from ML classifiers can result in erroneous ecological models that can lead to misguided management and conservation actions. We used a two-stage general approach to...