about
eBird: engaging birders in science and conservationInnovative Visualizations Shed Light on Avian Nocturnal MigrationSeasonal changes in the altitudinal distribution of nocturnally migrating birds during autumn migrationTowards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring.Can Observation Skills of Citizen Scientists Be Estimated Using Species Accumulation Curves?Migration timing and its determinants for nocturnal migratory birds during autumn migration.Taking a 'Big Data' approach to data quality in a citizen science projectSpatiotemporal exploratory models for broad-scale survey data.Data-intensive science applied to broad-scale citizen science.Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale.Population-level scaling of avian migration speed with body size and migration distance for powered fliers.Global change and the distributional dynamics of migratory bird populations wintering in Central America.A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA.Abundance models improve spatial and temporal prioritization of conservation resources.Documenting stewardship responsibilities across the annual cycle for birds on U.S. public lands.BirdVis: visualizing and understanding bird populationsSpring phenology of ecological productivity contributes to the use of looped migration strategies by birds.Convergence of broad-scale migration strategies in terrestrial birds.Citizen Science: A Developing Tool for Expanding Science Knowledge and Scientific LiteracyParticipatory design of DataONE—Enabling cyberinfrastructure for the biological and environmental sciencesThe eBird enterprise: An integrated approach to development and application of citizen scienceEstimates of observer expertise improve species distributions from citizen science dataThe role of atmospheric conditions in the seasonal dynamics of North American migration flywaysA method for measuring the relative information content of data from different monitoring protocolsData-intensive Science: A New Paradigm for Biodiversity StudiesUsing open access observational data for conservation action: A case study for birdsFusing shallow and deep learning for bioacoustic bird species classificationDetecting Migrating Birds at NightEstimating Species Distributions-Across Space, Through Time, and with Features of the EnvironmentUsing Semistructured Surveys to Improve Citizen Science Data for Monitoring BiodiversityeBird: A citizen-based bird observation network in the biological sciencesNovel seasonal land cover associations for eastern North American forest birds identified through dynamic species distribution modellingReconstructing Velocities of Migrating Birds from Weather Radar – A Case Study in Computational Sustainability
P50
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P50
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P2038
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