Ringing data (mainly passerines) has been collected at ringing stations in Northern Poland since 1961. The database is still under development.

bird beak size in units of centroid size (mm) and body mass in grams, both log-transformed.

Taiwan Wild Bird Federation Bird Records Database (TWBF Database), the first and the largest web-based biodiversity citizen science database of Taiwan, has collected a large number of birdwatching checklists provided by more than 3,000 users. From 1972 to 2017, the TWBF Database accumulated 1,853,589 bird records within 102,716 checklists, covering nearly all area and almost 90% of the 653 bird species of Taiwan Island and its outlying islands.

The iratebirds database contains comprehensive visual aesthetic attractiveness, as seen by humans, data for bird taxonomic units (following the eBird/Clements integrated checklist v. 2019). The data were collected with the iratebirds.app -website citizen science project, where users rated the appearance of birds on a linear scale from 1-10. The rating were based on photographs of the birds available from the Macaulay Library database. Each rating score of a bird species or subspecies is based on several photographs of the same bird species. The application code is openly available on GitHub: https://github.com/luomus/iratebirds The application was spread during August 2020 – April 2021, globally, to as wide audiences as possible using social media, traditional media, collaborators and email-lists.

The iratebirds database is based on 408 207 ratings from 6 212 users. It consists of raw visual aesthetic attractiveness rating data as well as complementary data from an online survey that sourced demographic information from a subset of 2 785 users who scored the birds. The online survey gives information on these users’ birding skills, nature connectedness, profession, home country, age and gender. On top of these, the data scores for birds’ visual aesthetic attractiveness to humans have been modelled with hierarchical models to obtain overall average scores for the bird species and subspecies. More details on the data are found in this file’s section “Methodological information” as well as in the publication Haukka, A. et al. (2023), The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans, Scientific Data. The full database "iratebirds_raw_data_taxonomy_photoinfo_ratings_survey_251022.csv" includes all the data related to the photographs scored (e.g. place and location of the photograph, and its quality), the species and subspecies names (following the eBird/Clements integrated checklist v. 2019), the raw scores made by the users, details of the users (e.g. language used), and internal user ID, and for the users who took the online survey, also detailed information about their demography, e.g. home country and other information related to their knowledge of and connection to nature and birds. The modeled rating scores database "iratebirds_final_predictions_average_fullmodel_subsetmodel_151122.csv" includes visual aesthetic attractiveness of birds, as perceived by humans, calculated in three different ways. The most appropiate score can be chosen by the user according to the specific research needs, but in general we recommend using the scores from the full model (ii). The three different measures are i) raw visual aesthetic attractiveness for each bird species (or subspecies), ii) full model: visual aesthetic attractiveness corrected for language group of the scorer and the quality of the photo scored, iii) subset model: visual aesthetic attractiveness corrected as in ii) plus other user specific factors (related to bird and nature knowlegde and connections, home country, age. and gender). The file also gives information on how many photos were used for scoring each bird and how many users have scored the species. The latter subset model iii) represents only a subset of all the species. The data on visual aesthetic attractiveness are also available at the species and the sex within-species level, for the sexually dichromatic species, in the file "iratebirds_pred_ratings_species_and_sex_level_120123.csv".

All database files are given both as .csv- and .xlsx -files. The data and code to reproduce the analyses, figures and tables presented in Haukka et al. 2023 The iratebirds citizen science project: a dataset of birds’ visual aesthetic attractiveness to humans (Scientific Data doi: https://doi.org/10.1038/s41597-023-02169-0) are included in the 'iratebirds_raw_data_taxonomy_photoinfo_ratings_survey_251022.csv' and 'Haukka_et_al_Scientific_Data_modelling.R','Haukka_et_al_Scientific_Data_Figure.R' and 'Haukka_et_al_Scientific_Data_Tables.R' -files. Detailed information on dataprosessing and models can be found in the publication Haukka et al. 2023 The iratebirds Citizen Science Project: a Dataset on Birds’ Visual Aesthetic Attractiveness to Humans, Scientific Data doi: https://doi.org/10.1038/s41597-023-02169-0)

Comprehensive dataset of 27 Bird watching areas in Oregon, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 275 Bird watching areas in Germany as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Big Sur Ornithology Lab was founded in 1992 as a long-term monitoring station to study landbird population trends at a coastal riparian site in central California. Trends may pertain to, but not limited to, four demographic categories: 1) breeding adults, 2) total adults, 3) local hatching year birds, and 4) hatching year migrants. Preliminary results include capture rates from 1993 to 2001 declining significantly over time in adult breeding Warbling Vireos, and a nearly significant decline in hatching year Warbling Vireos. Capture rates of hatching year Wilson's Warblers increased and capture rates of adult Black-headed Grosbeaks declined

The MSB Division of Birds maintains an extensive research collection of over 40,000 bird specimens from western North America and around the world. Taxonomic coverage consists of all avian orders and approximately 85% of avian families. The oldest specimens are from the mid-1870’s, with most collected after the 1950’s. The collection has grown about 6-fold since 1989, and it continues to grow rapidly through salvage and research-driven collecting. Approximately 40% of the specimens have frozen tissues associated with them. Collection highlights include: Synoptic series of the Birds of New Mexico for ID reference and teaching; the personal collection of Dale Zimmerman, donated in 2004, which contributed significantly to the taxonomic and geographic scope of the collection; the collection of Amadeo Rea, upon which the book Once a River was based; raptors and game birds of J.M. Campbell; the J. Stokley Ligon collections (in part); and representative threatened, endangered and extinct species of North America. All but the most recent research specimens are published online via the database Arctos.

1.Recent advances in the estimation of species richness from count data have allowed avian ecologists to incorporate incomplete detectability of species when comparing richness across space or time. Raw counts from single or repeated visits to sample point(s) are nonetheless still used for assessing community composition, and the failure to account for detectability when making these evaluations may lead to incorrect inferences about the community. 2.We estimated detection probabilities (p) for a suite of bird species and used these detection probabilities to determine the minimum number of visits at a single point and the minimum number of points in a grid required to confidently (≥ 90%) detect the full community of birds for rare, moderately rare, and common species. We used occupancy modeling to estimate the detection probabilities for species from two study sites in Nebraska and Saskatchewan. 3.Some common or highly detectable species were confidently detected in a single visit to a...

Human implicit biases toward visually appealing and familiar stimuli are well-documented and rooted in our brains’ reward systems. For example, humans are drawn to charismatic, familiar organisms, but less is known whether such biases permeate research choices among biologists, who strive for objectivity. The factors driving research effort, such as aesthetics, logistics, and species’ names, are poorly understood. We report that, from 1965–2020, nearly half of the variation in publication trends among 293 North American male passerine and near-passerine birds was explained by three factors subject to human bias: aesthetic salience (visual appeal), range size (familiarity), and the number of universities within ranges (accessibility). We also demonstrate that Endangered birds and birds featured on journal covers had higher aesthetic salience, and birds with eponymous names were studied about half as much as those not named after humans. Thus, ornithological knowledge, and decisions based..., , , # Six-decade research bias toward fancy and familiar bird species

https://doi.org/10.5061/dryad.4f4qrfjpr

Description of the data and file structure

In the analysis based on this dataset, we assess how human biases influence the amount of research conducted on 293 North American bird species over the past half-century. We integrated bibliometrics, theories derived from human preference research, and a standardized aesthetic salience scoring system to test whether the remarkable variation in visual traits of North American birds and their geographic distributions explains variation in research effort (number of publications on each species) from 1965-2020.Â

Caption for code: R code used to analyze data, run in R v 4.3.1 (R Core Team, 2023).

Files and variables

File: Fischer_et_al_Bird-research-bias_DATA_2025.xlsx

Description: Dataset used in analysis. The file (xlsx format) consists of two worksheets: 1) list of...

This dataset contains the number of breeding pairs of bird species surveyed in all Cottonwood Lake Study Area wetlands.

This research investigates the complex relationships between environmental factors, human disturbance, and avian communities in Ghana's coastal ecosystems. Through comprehensive field studies conducted along a 15-kilometer coastal transect, this work examines how bird assemblages respond to both spatial and temporal environmental variations, with particular focus on the functional roles that different bird species play in maintaining ecosystem integrity.This research addresses a critical knowledge gap regarding the role of avian ecological traits in mediating ecosystem resilience in tropical coastal regions. The findings have important implications for coastal management strategies and conservation planning, particularly in the context of increasing anthropogenic pressures on these vulnerable ecosystems. The work contributes to the growing understanding of functional diversity-ecosystem functioning relationships in tropical environments and provides a framework for future investigations of community assembly processes under habitat modification scenarios.

Citizen science data, such as eBird, is broadly accessible and has been underutilized in the study of fine-scale avian populations and distributions. eBird data offers opportunities for examining avian diversity and abundance across ecological gradients. Using these data, we compiled the abundance and diversity of bird communities throughout Central California drylands at 10 established long-term research sites. years 2018-2021 sites 10 unique instances Species list and checklist from these primary data. Zoë Hillier-Weltman, CJ Lortie, Mario Zuliani, & Bridget Stutchbury. (2023). eBird Observations in Central California. Knowledge Network for Biocomplexity. doi:10.5063/F1DJ5D3W.

The North American Breeding Bird Survey (BBS), which is coordinated by the Biological Resources Division and Canadian Wildlife Service, is a primary source of population trend and distribution information for most species of North American birds. The BBS was initiated during 1966 by Chan Robbins and his associates at the Patuxent Wildlife Research Center to monitor the populations of all breeding bird species across the continental U.S., Canada, and Alaska. Approximately 2200 skilled observers participate in the survey each year. The BBS has accumulated 30 years of data on the abundance, distribution, and trends for more than 400 species of birds. These data are widely used by researchers, various federal and state agencies, non-governmental organizations, and the general public. Analyses of BBS data by PWRC statisticians have been instrumental in the development of innovative approaches for analyzing trends of wildlife populations.

To quantify the abundance and density of secretive marsh birds, field teams conducted survey routes from late March to late July 2010 in Louisiana, Alabama, Mississippi, and Florida. The data were collected by MJ Conroy Wildlife Biometrics (Athens, Georgia) personnel contracted by U.S. Fish and Wildlife Service (USFWS) occasionally accompanied by a BP/CardnoENTRIX observer contracted by the Responsible Party. Field teams conducted surveys in three marsh habitat types, saline Juncus marsh, saline Spartina marsh, and brackish Phragmites marsh. A survey route is a permanent grouping of approximately eight stations at least 500 meters apart that are surveyed during the same morning or evening survey window. At each station, for all target species (clapper rails and seaside sparrows, among others), observers recorded all birds seen or heard in a passive five-minute observation period. Following the passive observation period, observers broadcast callbacks and recorded all birds seen or heard during a respective response period. Observers also recorded the distance and direction of each detected bird relative to the station marker, birds detected between stations, and noted birds detected at a previous point. Data were documented on two data forms, the “National Marsh Bird Monitoring Program Survey” datasheet (herein referred to as “NMBMP form”) and the “Secretive Marsh Bird NRDA Surveys” datasheet (herein referred to as “NRDA form”). Field personnel recorded data on the NMBMP forms, and occasionally later transcribed data onto the NRDA forms. Note that the available datasheet type varies by route (i.e., a route might have data recorded on NMBMP, NRDA, or both forms). As part of the verification and validation process, the DOI Data Verification/Validation Contractor consolidated these data into one comprehensive dataset, Secretive Marsh Bird Callback Survey dataset. Additional details on the methodologies are available in the Standardized North American Marsh Bird Monitoring Protocols Wildlife Research Report #2009-02 and additional details on the surveys, data, and results are provided in the End of Study Report (Data analysis regarding oil spill effects on secretive marsh birds (pre-oiling), Final Report, October 4, 2013 by MJ Conroy Wildlife Biometrics)

Comprehensive dataset of 21 Bird watching areas in Hungary as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 1,076 Bird watching areas in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

We used audiovisual point counts on eight subplots per plot to record birds in the warm dry season (December to March) and in the cold dry season (July to October). We established circles with a 20-m radius in densely vegetated habitats (savanna and all forest habitats) and 35.5 m × 35.5 m squares at Helichrysum plots, covering the same sampling area in all habitat types. All birds heard or seen in one subplot were counted for 10 min and identified to species level. Point counts started 15 min before sunrise and were completed before 09:00. All 480 point counts (30 plots × 8 subplots × 2 seasons) were conducted by the same observer (Ferger S. W.) to reduce inter-observer variability. This dataset contains (a) only subplots at which birds were observed and (b) no birds that were observed higher than maximum canopy height of the respective subplot in the respective season, which was achieved by combining "Data on bird communities on the study plots of the Kilimanjaro Research Unit including all bird individuals observed during point counts" and "Data on habitat characters and fruit and flower abundance on the study plots of the Kilimanjaro Research Unit". (a) is a simple modification and (b) is a common (and often necessary!) modification of ornithological datasets. Note, however, that this causes three plots to be removed from the dataset, as no birds were observed on those: hel4 in the cold season and hel3 in both seasons. This means that if you e.g. intend to calculate species richness across all plots, you may want to include them manually with a species richness of zero. If you do not know what these modifications mean in terms of suitability of this dataset for your intended analyses, you should definitively contact the data owner and maybe consider the original and complete dataset "Data on bird communities on the study plots of the Kilimanjaro Research Unit including all bird individuals observed during point counts".

Occurrence of Birds, Aquatic Mammals, & Fish Schools Log collected during research cruises in 1950-1973, 1975-1991 and 1994-1997. Date, position, sightings of bird flock and fish schools, sightings of scattered birds, fish, whales, porpoises, seals and other species were collected on the log.

Comprehensive dataset of 165 Bird watching areas in Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.