This dataset is North American Breeding Bird Survey bird-count data for the routes and stops in North Dakota, USA, in which ten mixed-grass-prairie-endemic species occurred, as well as the mean habitat-quality ranking scores derived from applying the Habitat Quality Module of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) to spatial layers for landuse/landcover from the National Agricultural Statistics Survey, CRP from USDA, urban and road areas from US Census Bureau (Tiger/Line), and energy development from USGS. The bird-count data is the total sum of counts for the focal ten species; individual species counts are not part of the dataset.

This data release contains breeding-bird densities in native mixed-grass prairie collected from 2003 to 2012 at and adjacent to wind farms in North and South Dakota, USA, for one year prior to turbine construction and several years post-construction. One dataset contains breeding-bird densities per 100 ha by distance from turbines for categories of 0-100 m, 100-200 m, 200-300 m, and greater than 300 m from turbines and for reference (i.e., control) sites. A second dataset contains breeding-bird density overall for turbine and reference sites, without the distance-category breakdown. A third dataset contains measurements that characterize average vegetation structural measurements on each study plot. This data release supports the following manuscript: Shaffer, J.A., and D. A. Buhl. 2016. Effects of wind-energy facilities on breeding grassland bird distributions. Conservation Biology 30:59-71. doi:10.1111/cobi.12569.

This data release contains breeding-bird densities in native mixed-grass prairie collected from 2003 to 2012 at and adjacent to wind farms in North and South Dakota, USA, for one year prior to turbine construction and several years post-construction. One dataset contains breeding-bird densities per 100 ha by distance from turbines for categories of 0-100 m, 100-200 m, 200-300 m, and greater than 300 m from turbines and for reference (i.e., control) sites. A second dataset contains breeding-bird density overall for turbine and reference sites, without the distance-category breakdown. A third dataset contains measurements that characterize average vegetation structural measurements on each study plot. This data release supports the following manuscript: Shaffer, J.A., and D. A. Buhl. 2016. Effects of wind-energy facilities on breeding grassland bird distributions. Conservation Biology 30:59-71. doi:10.1111/cobi.12569.

This data release contains eight datasets that represent the entirety of the data collected for a study that examined breeding-bird densities in native mixed-grass prairie from 2003 to 2012 at and adjacent to wind facilities in North Dakota and South Dakota, USA. Data were collected to determine breeding-bird density per 100 hectares (ha) by distance bands from turbines and by excluding habitat that may not be considered suitable as breeding habitat for particular bird species. A subset of the data that included only one year prior to turbine construction and several years post-construction and that lent itself to a before-after-control-impact (BACI) assessment was published as its own data release and paper in 2016 in Conservation Biology by authors J. Shaffer and D. Buhl. The all-inclusive data release described hereafter is of the same basic format but includes all years and all study sites (also referred to as study plots), even those that did not lend themselves to a BACI assessment. The data release contains eight datasets with discrete topics of information, namely on bird occurrence; years of study organized by study site and treatment (that is, impact—indicating post-turbine construction) or control status and pre- or post-treatment status; overall study plot area; plot area by habitat-exclusion areas and by distance bands from turbines; turbine locations; vegetation structural data; locations of survey grid points; and bird codes and associated English common names and scientific names for the list of bird species observed during the study. The ‘bird occurrence’ dataset includes bird species identification, sex, mating-pair status, and geographic locations of individual birds, which were obtained to determine locations of individual birds from nearest turbine location and to ultimately determine bird density per 100 ha. The ‘pre post years’ dataset indicates the years that individual study sites (also known as study plots) within study areas were surveyed, whether the study site was a control or treatment site (thus indicating whether the site was never expected to experience turbine construction or whether the site was expected to experience turbine construction), and whether the study site was considered a pre-treatment or post-treatment year (thus indicating for treatment sites whether the site did not have or did have turbines that particular year). The ‘overall plot area’ dataset provides the overall areal extent of each study plot within which bird and vegetation data were obtained and to aid in determining bird density per 100 ha. The ‘plot area by distance band habitat’ dataset represents a refinement of plot area by categorizing area within up to four habitat-exclusion variables and by four distance bands in concurrent rings from turbines (that is, 0–100 meters [m], 100–200 m, 200–300 m, and greater than 300 m from turbines); these data allow one to calculate bird density per 100 ha by distance band and with exclusion of habitat in which the bird species would not be expected to be occupying. The ‘turbine location’ dataset indicates geographic location of individual turbines, which was obtained in order to determine distance from individual bird locations to nearest turbine location. The ‘vegetation’ dataset contains measurements that characterize average vegetation structural measurements and life form and was collected to determine if there were differences in vegetation structure between control and treatment sites and pre-treatment and post-treatment years. The ‘study survey grid point’ contains geographic location of individual grid points by study site, which indicates the exact location of each study site. The ‘bird codes and names’ dataset indicates the four-letter bird codes and the English common and scientific names that they represent and also provides a list of bird species observed during the study.

This data release contains eight datasets that represent the entirety of the data collected for a study that examined breeding-bird densities in native mixed-grass prairie from 2003 to 2012 at and adjacent to wind facilities in North Dakota and South Dakota, USA. Data were collected to determine breeding-bird density per 100 hectares (ha) by distance bands from turbines and by excluding habitat that may not be considered suitable as breeding habitat for particular bird species. A subset of the data that included only one year prior to turbine construction and several years post-construction and that lent itself to a before-after-control-impact (BACI) assessment was published as its own data release and paper in 2016 in Conservation Biology by authors J. Shaffer and D. Buhl. The all-inclusive data release described hereafter is of the same basic format but includes all years and all study sites (also referred to as study plots), even those that did not lend themselves to a BACI assessment. The data release contains eight datasets with discrete topics of information, namely on bird occurrence; years of study organized by study site and treatment (that is, impact—indicating post-turbine construction) or control status and pre- or post-treatment status; overall study plot area; plot area by habitat-exclusion areas and by distance bands from turbines; turbine locations; vegetation structural data; locations of survey grid points; and bird codes and associated English common names and scientific names for the list of bird species observed during the study. The ‘bird occurrence’ dataset includes bird species identification, sex, mating-pair status, and geographic locations of individual birds, which were obtained to determine locations of individual birds from nearest turbine location and to ultimately determine bird density per 100 ha. The ‘pre post years’ dataset indicates the years that individual study sites (also known as study plots) within study areas were surveyed, whether the study site was a control or treatment site (thus indicating whether the site was never expected to experience turbine construction or whether the site was expected to experience turbine construction), and whether the study site was considered a pre-treatment or post-treatment year (thus indicating for treatment sites whether the site did not have or did have turbines that particular year). The ‘overall plot area’ dataset provides the overall areal extent of each study plot within which bird and vegetation data were obtained and to aid in determining bird density per 100 ha. The ‘plot area by distance band habitat’ dataset represents a refinement of plot area by categorizing area within up to four habitat-exclusion variables and by four distance bands in concurrent rings from turbines (that is, 0–100 meters [m], 100–200 m, 200–300 m, and greater than 300 m from turbines); these data allow one to calculate bird density per 100 ha by distance band and with exclusion of habitat in which the bird species would not be expected to be occupying. The ‘turbine location’ dataset indicates geographic location of individual turbines, which was obtained in order to determine distance from individual bird locations to nearest turbine location. The ‘vegetation’ dataset contains measurements that characterize average vegetation structural measurements and life form and was collected to determine if there were differences in vegetation structure between control and treatment sites and pre-treatment and post-treatment years. The ‘study survey grid point’ contains geographic location of individual grid points by study site, which indicates the exact location of each study site. The ‘bird codes and names’ dataset indicates the four-letter bird codes and the English common and scientific names that they represent and also provides a list of bird species observed during the study.

A biologist and field crew from Northern Prairie Wildlife Research Center observed bird flights at 7 study sites, twice weekly during two spring and two fall migration periods between April 3, 1981 and May 20, 1982. Study sites were located in south-central North Dakota in Barnes, Kidder, and Stutsman counties. The database includes flight observation's of bird species in the vicinity of power lines and transmission towers, number of birds in each flock, their reactions to power lines and transmission towers, weather conditions, and number of collisions.

A biologist and field crew from Northern Prairie Wildlife Research Center observed bird flights at 7 study sites, twice weekly during two spring and two fall migration periods between April 3, 1981 and May 20, 1982. Study sites were located in south-central North Dakota in Barnes, Kidder, and Stutsman counties. The database includes flight observation's of bird species in the vicinity of power lines and transmission towers, number of birds in each flock, their reactions to power lines and transmission towers, weather conditions, and number of collisions.

The data set provides information on the fledging times of passerine grassland birds. Data were collected from video surveillance of 70 nests of 9 bird species that nested in grasslands of Minnesota and North Dakota, USA. The data include year, unique nest number, species, date and time of fledging by nestling.

The data set provides information on the fledging times of passerine grassland birds. Data were collected from video surveillance of 70 nests of 9 bird species that nested in grasslands of Minnesota and North Dakota, USA. The data include year, unique nest number, species, date and time of fledging by nestling.

These data represent an resource selection function (RSF) for translocated sage-grouse in North Dakota during the nesting season. Human enterprise has led to large‐scale changes in landscapes and altered wildlife population distribution and abundance, necessitating efficient and effective conservation strategies for impacted species. Greater sage‐grouse (Centrocercus urophasianus; hereafter sage‐grouse) are a widespread sagebrush (Artemisia spp.) obligate species that has experienced population declines since the mid‐1900s resulting from habitat loss and expansion of anthropogenic features into sagebrush ecosystems. Habitat loss is especially evident in North Dakota, USA, on the northeastern fringe of sage‐grouse’ distribution, where a remnant population remains despite recent development of energy‐related infrastructure. Resource managers in this region have determined a need to augment sage‐grouse populations using translocation techniques that can be important management tools for countering species decline from range contraction. Although translocations are a common tool for wildlife management, very little research has evaluated habitat following translocation, to track individual behaviors such as habitat selection and fidelity to the release site, which can help inform habitat requirements to guide selection of future release sites. We provide an example where locations from previously released radio‐marked sage‐grouse are used in a resource selection function framework to evaluate habitat selection following translocation and identify areas of seasonal habitat to inform habitat management and potential restoration needs. We also evaluated possible changes in seasonal habitat since the late 1980s using spatial data provided by the Rangeland Analysis Platform coupled with resource selection modeling results. Our results serve as critical baseline information for habitat used by translocated individuals across life stages in this study area, and will inform future evaluations of population performance and potential for long‐term recovery.