95 datasets found
  1. d

    North American Bird Banding Program Dataset 1960-2023 retrieved 2023-07-12

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). North American Bird Banding Program Dataset 1960-2023 retrieved 2023-07-12 [Dataset]. https://catalog.data.gov/dataset/north-american-bird-banding-program-dataset-1960-2023-retrieved-2023-07-12
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The North American Bird Banding Program is administered through the U.S. Geological Survey (USGS) Bird Banding Laboratory (BBL), Eastern Ecological Science Center at the Patuxent Research Refuge (EESC) and the Bird Banding Office (BBO), Environment and Climate Change Canada (ECCC). The respective banding offices have similar functions and policies and use the same bands, reporting forms and data formats. This long-term dataset (1960-2023) consists of over 83 million bird banding, encounter and recapture records of over 1,000 species covered under the Migratory Bird Treaty Act (MBTA). Data is contributed by US and Canadian bird banding permit holders: federal, state, tribal, local government, non-government agencies, business, university and avocational biologists. Banders capture wild birds and mark them with a metal leg band with a unique 9-digit number. Extra markers may be added. Attributes such as age, sex, condition of bird may be included. Prior to data release, all locations for sensitive species and gamebirds are generalized to larger areas; 10-minute and 1-degree block coordinate precisions respectively. Sensitive species include diurnal raptors, US Threatened, Endangered, and Canadian Species at Risk Act (SARA) species. Gamebirds include waterfowl, cranes, rails, woodcock, doves, crows and ravens. Data are curated at BBL daily, therefore each yearly version may differ from previous releases. Incoming data must pass validation rules to meet quality standards; however, data accuracy is ultimately determined by contributors.

  2. g

    USGS PWRC - Bird Banding Lab - US State Centroid - 1960-2010

    • gbif.org
    Updated Mar 12, 2024
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    Margarita Malorodova; Margarita Malorodova (2024). USGS PWRC - Bird Banding Lab - US State Centroid - 1960-2010 [Dataset]. http://doi.org/10.15468/vjeyea
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    Dataset updated
    Mar 12, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    GBIF
    Authors
    Margarita Malorodova; Margarita Malorodova
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1960 - Dec 31, 2010
    Area covered
    Description

    The Bird Banding Laboratory (BBL) was established in 1920 to coordinate bird banding activities occurring in the United States and its Territories, a consequence of the Migratory Bird Treaty Act between the United States and Great Britain that was ratified in 1918. Originally a program within the US Biological Survey, it was also associated with the US Fish and Wildlife Service and National Biological Service before being transferred to the USGS in 1996. Among its many responsibilities, the BBL maintains the bird banding data collected in the United States and its Territories and every report of birds banded in the US that are encountered anywhere in the world. Computerization of the banding records was initiated in 1960 and the BBL annually processes approximately one million new banding records from the US. Banding data are essential for managing harvested migratory bird populations across North America. These data also provide a historical source of information on the status and distribution of birds in the United States and have greatly expanded our knowledge of bird migration patterns across this hemisphere. USGS Patuxent Wildlife Research Center (PWRC). This dataset is a checklist of birds that occur in each state.

  3. Data for bird banding forecast

    • figshare.com
    csv
    Updated Apr 16, 2025
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    Kyle Horton (2025). Data for bird banding forecast [Dataset]. http://doi.org/10.6084/m9.figshare.28806881.v2
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    csvAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Kyle Horton
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset includes Appledore Island bird banding totals, weather surveillance radar measures from two nearby NEXRAD stations, and NARR measures of abiotic conditions centered on Appledore Island.

  4. Klamath Network Landbird Banding Data Package 2008-2024

    • catalog.data.gov
    Updated May 23, 2025
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    National Park Service (2025). Klamath Network Landbird Banding Data Package 2008-2024 [Dataset]. https://catalog.data.gov/dataset/klamath-network-landbird-banding-data-package-2008-2024
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    Dataset updated
    May 23, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    This dataset contains monitoring data for land bird banding at park units within the Klamath Inventory and Monitoring Network (KLMN). Landbirds were selected as a focus group for bird monitoring in the KLMN because they provide cost-effective information about ecological conditions of interest and they are well represented in the major terrestrial habitats in the parks. This dataset will provide park managers with data and information that can be utilized to help better address landbird status and trends. Starting in 2008, two types of monitoring data have been collected 1) point counts, and 2) banding. Point counts occur in all KLMN parks with 2 parks sampled per year. Banding is done at ORCA and occurs every year. Data are also collected on habitat. Klamath Inventory and Monitoring Networks landbird protocol contributes to regional and continental bird monitoring and is integrated with an extensive regional bird monitoring network. This effort has yielded a substantial regional dataset with information about landbird distribution, population trends, and population demographics.

  5. d

    1960's Bird Banding Data.

    • datadiscoverystudio.org
    Updated May 20, 2018
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    (2018). 1960's Bird Banding Data. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/7a15d7145f4e4f799638e3e7d03b445b/html
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    Dataset updated
    May 20, 2018
    Description

    description: This is a generic dataset of banding data at Santee National Wildlife Refuge; abstract: This is a generic dataset of banding data at Santee National Wildlife Refuge

  6. Bird Banding Data for Cockscomb Basin Wildlife Sanctuary, Belize 2016 - 2017...

    • gbif.org
    Updated Jan 31, 2019
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    Abidas Ash; Abidas Ash (2019). Bird Banding Data for Cockscomb Basin Wildlife Sanctuary, Belize 2016 - 2017 [Dataset]. http://doi.org/10.15468/ih3clg
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    Dataset updated
    Jan 31, 2019
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    University of Belize Environmental Research Institute
    Authors
    Abidas Ash; Abidas Ash
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 12, 2016 - Mar 24, 2017
    Area covered
    Description

    Bird banding data collected at a protected area in southern Belize, Cockscomb Basin Wildlife Sanctuary, using the Monitoreo de Sobrevivencia Invernal (MoSI - Monitoring Overwintering Survival) protocol developed by The Institute for Bird Populations (IBP). Data was collected from December 2016 to March 2017.

  7. Bird Banding Data for Black Rock Lodge, Belize 2016-2018

    • gbif.org
    Updated Jan 31, 2019
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    Abidas Ash; Abidas Ash (2019). Bird Banding Data for Black Rock Lodge, Belize 2016-2018 [Dataset]. http://doi.org/10.15468/qulty5
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    Dataset updated
    Jan 31, 2019
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    University of Belize Environmental Research Institute
    Authors
    Abidas Ash; Abidas Ash
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 5, 2016 - Mar 11, 2017
    Area covered
    Description

    Bird banding data collected at Black Rock Lodge using the Monitoreo de Sobrevivencia Invernal (MoSI-Monitoring Overwinterning Survival) protocol developed by the Institute of Bird Populations (IBP). Data was collected from December 2016 to March 2017 and November 2017 to March 2018.

  8. Bird Banding Data for Freshwater Creek Forest Reserve, Belize 2018

    • gbif.org
    Updated Jan 31, 2019
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    Abidas Ash; Abidas Ash (2019). Bird Banding Data for Freshwater Creek Forest Reserve, Belize 2018 [Dataset]. http://doi.org/10.15468/vlwfe6
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    Dataset updated
    Jan 31, 2019
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    University of Belize Environmental Research Institute
    Authors
    Abidas Ash; Abidas Ash
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 20, 2018 - Mar 22, 2018
    Area covered
    Description

    Bird banding data collected at a protected area, Freshwater Creek Forest Reserve, in northern Belize using the Monitoreo de Sobrevivencia Invernal (MoSI-Monitoring Overwintering Survival) protocol developed by the Institute of Bird Populations (IBP). Data was collected from February to March 2018.

  9. Bird Banding Data for Cockscomb Basin Wildlife Sanctuary, Belize 2017-2018

    • gbif.org
    Updated Jan 31, 2019
    + more versions
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    Abidas Ash; Abidas Ash (2019). Bird Banding Data for Cockscomb Basin Wildlife Sanctuary, Belize 2017-2018 [Dataset]. http://doi.org/10.15468/qmx13f
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    Dataset updated
    Jan 31, 2019
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    University of Belize Environmental Research Institute
    Authors
    Abidas Ash; Abidas Ash
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 12, 2017 - Mar 16, 2018
    Area covered
    Description

    Bird banding data collected at a protected area in Southern Belize, Cockscomb Basin Wildlife Sanctuary, using the Monitoreo de Sobrevivencia Invernal (MoSI-Monitoring Overwintering Survival) protocol developed by the Institute of Bird Populations (IBP). Data was collected from November 2017 to March 2018.

  10. Ringing and recovery database of birds (TIPU)

    • gbif.org
    Updated Jul 9, 2025
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    Finnish Museum of Natural History - Zoology Unit (2025). Ringing and recovery database of birds (TIPU) [Dataset]. http://doi.org/10.15468/kht1r3
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Finnish Museum of Natural History - Zoology Unit
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 25, 1899 - Dec 31, 2029
    Area covered
    Description

    Dataset contains observations of birds ringed in Finland and reported encounters of the birds, both from Finland and abroad.

    Ring numbers have been hidden. Data quality: Bird ringing requires a permit, which includes training and examination of bird identification skills. All ring recoveries are validated by experts.

  11. f

    Data from: Are recaptures of banded birds efficient at detecting altitudinal...

    • scielo.figshare.com
    jpeg
    Updated Jun 14, 2023
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    Fabio Schunck; Marco Antonio Rego; Luís Fábio Silveira; Carlos Candia-Gallardo (2023). Are recaptures of banded birds efficient at detecting altitudinal migrations in the Atlantic Forest? [Dataset]. http://doi.org/10.6084/m9.figshare.21624418.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    SciELO journals
    Authors
    Fabio Schunck; Marco Antonio Rego; Luís Fábio Silveira; Carlos Candia-Gallardo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Atlantic Forest
    Description

    ABSTRACT Altitudinal migration in birds comprises seasonal movements between breeding and non-breeding areas in mountainous regions, attributed to biotic and abiotic factors. Different authors have suggested the existence of altitudinal migration between high and low areas of the mountains of the Atlantic Forest, with movement from high to low during the winter when birds would be fleeing the cold and in search of food, but there is no documented evidence. Through recaptures of understory birds, we investigated possible altitudinal migration in a region of the Atlantic Forest in Southeast Brazil. Twenty mist-nets were set at four locations between 15 and 729 m a.s.l. during 143 days of field work, distributed over 54 months and covering all seasons of the year. A total of 1946 birds (98 species) were captured/banded with 558 being recaptured (28.6%; 45 species). However, only 42 of the recaptures were at a different elevation. Most of the movements were of short distances and performed only once by birds, showing no seasonal pattern. These movements may be better interpreted as daily movements undertaken by birds of mixed-species flocks looking for food or moving around their respective home-ranges. Our results show that mist-nets may not be an effective tool in detecting altitudinal movements of birds and that other methods should be evaluated for this purpose.

  12. f

    Data from: Summarising biometrics from the SAFRING database for southern...

    • tandf.figshare.com
    pdf
    Updated Jun 1, 2023
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    Sanjo Rose; Robert L Thomson; Hans-Dieter Oschadleus; Alan TK Lee (2023). Summarising biometrics from the SAFRING database for southern African birds [Dataset]. http://doi.org/10.6084/m9.figshare.11363777.v2
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Sanjo Rose; Robert L Thomson; Hans-Dieter Oschadleus; Alan TK Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Southern Africa, Africa
    Description

    Biometrics form a key characteristic of a species. Here, we provide a summary of biometrics held by the South African Bird Ringing Scheme (SAFRING), which was initiated in 1948, including measures of mass and lengths of the tarsus, head, culmen, tail and wing. We include all species in southern Africa for which there was sufficient data. Accordingly, we present biometric data for 674 of the 904 southern African bird species. We also investigated whether there were sex-specific differences for each species, and provide summaries for species where values significantly differed between the sexes. We found 376 species with significant sex-specific differences for at least one measure (e.g. mass). Although SAFRING holds data entries for many ringed individuals, a sizeable proportion of the entries was not useable as biometric data. Therefore, in this article, we aim to: 1) present a complete, standardised reference of summarised biometric data for the birds of southern Africa; 2) provide ringers with benchmark values that could guide data-capturing; 3) identify data-deficient species; and 4) highlight the importance of collecting and capturing biometric data carefully and consistently.

  13. Bird Banding Data for Shipstern Conservation and Management Area, Belize...

    • gbif.org
    Updated Jan 31, 2019
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    Abidas Ash; Abidas Ash (2019). Bird Banding Data for Shipstern Conservation and Management Area, Belize 2017-2018 [Dataset]. http://doi.org/10.15468/tty3f6
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    Dataset updated
    Jan 31, 2019
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    University of Belize Environmental Research Institute
    Authors
    Abidas Ash; Abidas Ash
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 28, 2017 - Nov 30, 2017
    Area covered
    Description

    Bird banding data collected at a private reserve, Shipstern Conservation and Management Area (SCMA), in Belize that is managed by the Corozal Sustainable Future Initiative. The data was collected using the Monitoreo de Sobrevivencia Invernal (MoSI-Monitoring Overwintering Survival) protocol developed by the Institute for Bird Populations (IBP). The dataset includes data collected in November 2017 and January 2018.

  14. d

    Data from: Adult male birds advance spring migratory phenology faster than...

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Nov 30, 2023
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    Montague Neate-Clegg; Morgan Tingley (2023). Adult male birds advance spring migratory phenology faster than females and juveniles across North America [Dataset]. http://doi.org/10.5061/dryad.m905qfv4v
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    Dataset updated
    Nov 30, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Montague Neate-Clegg; Morgan Tingley
    Time period covered
    Jan 1, 2022
    Description

    Advances in spring migratory phenology comprise some of the most well-documented evidence for the impacts of climate change on birds. Nevertheless, surprisingly little research has investigated whether birds are shifting their migratory phenology equally across sex and age classes – a question critical to understanding the potential for trophic mismatch. We used 60-years of bird banding data across North America – comprising over 4 million captures in total – to investigate both spring and fall migratory phenology for a total of 98 bird species across sex and age classes, with the exact numbers of species for each analysis depending on season-specific data availability. Consistent with protandry, in spring (n=89 species), adult males were the first to arrive and immature females were the last to arrive. In fall (n=98), there was little difference between sexes, but adults tended to depart earlier than juveniles. Over 60 years, adult males advanced their phenology the fastest (-0.84 days..., See Methods of Neate-Clegg & Tingley, Global Change Biology. Briefly, raw banding data were extracted from the USGS Bird Banding Lab. A series of stringent filters were applied to narrow the dataset down to meet sample size requirements. Then, Weibull-corrected phenological metrics were calculated for every age group and sex for every species., ,

  15. d

    Data for monitoring breeding and migration of neotropical migratory birds at...

    • datasets.ai
    • data.usgs.gov
    • +1more
    55
    Updated Sep 11, 2024
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    Department of the Interior (2024). Data for monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15 [Dataset]. https://datasets.ai/datasets/data-for-monitoring-breeding-and-migration-of-neotropical-migratory-birds-at-point-loma-sa
    Explore at:
    55Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    San Diego County, Point Loma, California
    Description

    We operated a bird banding station on the Point Loma peninsula in western San Diego County, California, during spring and summer from 2011 to 2015. The station was established in 2010 as part of a long-term monitoring program for neotropical migratory birds during spring migration and for breeding birds as part of the Monitoring Avian Productivity and Survivorship (MAPS) program. During spring migration (April and May), 2011–15, we captured 1,760 individual birds of 54 species, 91 percent (1,595) of which were newly banded, fewer than 1 percent (3) of which were recaptures that were banded in previous years, and 9 percent (143 hummingbirds, 2 hawks, and 17 other birds) of which we released unbanded. We observed an additional 22 species that were not captured. Thirty-four individuals were captured more than once. Bird capture rate averaged 0.49 ± 0.07 captures per net-hour (range 0.41–0.56). Species richness per day averaged 6.87 ± 0.33. Cardellina pusilla (Wilson’s warbler) was the most abundant spring migrant captured, followed by Empidonax difficilis (Pacific-slope flycatcher), Vireo gilvus (warbling vireo), Zonotrichia leucophrys (white-crowned sparrow), and Selasphorus rufus (rufous hummingbird). Captures of white-crowned sparrow decreased, and captures of Pacific-slope flycatcher increased, over the 5 years of our study. Fifty-six percent of known-sex individuals were male and 44 percent were female. The peak number of new species arriving per day ranged from April 1 (2013-six species) to April 16 (2012-five species). These data support the following publication: Lynn, Suellen, Madden, M.C., and Kus, B.E., 2017, Monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15: U.S. Geological Survey Open-File Report 2017-1042, 119 p., https://doi.org/10.3133/ofr20171042 and data can be found by navigating to USGS Bird Banding Laboratory: https://www.pwrc.usgs.gov/bbl/ and Institute for Bird Populations: http://www.birdpop.org/pages/maps.php.

  16. ABBBS Bird Banding records from the Australian Antarctic Territory and Heard...

    • gbif.org
    • researchdata.edu.au
    • +1more
    Updated Jul 10, 2025
    + more versions
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    David Drynan; David Drynan (2025). ABBBS Bird Banding records from the Australian Antarctic Territory and Heard Island [Dataset]. http://doi.org/10.15468/eqauxe
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    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Australian Antarctic Divisionhttps://www.antarctica.gov.au/
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Australian Antarctic Data Centre
    Authors
    David Drynan; David Drynan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 7, 1954 - Oct 20, 2008
    Area covered
    Description

    Australian Bird and Bat Banding Scheme Bird Banding records from the Australian Antarctic Territory and Heard Island, a subset of banding and recovery records from within Australian Antarctic Territory and Heard Island. The Australian Government under the auspices of the Australian Bird and Bat Banding Scheme (ABBBS) manages the collation of information on threatened and migratory bird and bat species. The information provided spans from 1953 to the present, and contains over 2 million records. This set comprises records of banding and recovery in the Australian Antarctic territory. Records are also included if the bird was recovered or banded outside this region. The ABBBS site is at http://www.environment.gov.au/science/bird-and-bat-banding.

  17. d

    KBO 2004 Banding Data

    • search.dataone.org
    • knb.ecoinformatics.org
    Updated Aug 14, 2015
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    John Alexander (2015). KBO 2004 Banding Data [Dataset]. http://doi.org/10.5063/AA/stephens.10.3
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    Dataset updated
    Aug 14, 2015
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    John Alexander
    Time period covered
    Jan 1, 2004
    Area covered
    Description

    This dataset contains Klamath Bird Observatory's 2004 banding data. This database is part of the Klamath Demogaphic Monitoring Network and contributes to long-term projects.

  18. Data from: A simple method to estimate capture height biases at landbird...

    • zenodo.org
    • datadryad.org
    bin, csv, txt
    Updated Nov 8, 2023
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    David Tattoni; David Tattoni (2023). A simple method to estimate capture height biases at landbird banding stations: opportunities and limitations [Dataset]. http://doi.org/10.5061/dryad.zw3r228f4
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    txt, csv, binAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    David Tattoni; David Tattoni
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Mist-nets are one of the most important tools for the capture of wild birds in ornithological research. The probability of capturing birds may vary by net height, which may drive capture biases. Such biases are rarely estimated, likely because of the relatively high cost and effort associated with constructing and operating elevated mist-net rigs where multiple mist-nets are stacked above one another. Therefore, a low-cost and -effort method to collect capture height data may allow broader investigation and better accounting of potential bias in existing banding protocols. Here, we investigate whether recording net panel of capture (with net panels indicating capture height, e.g., "upper panel") in ground-level mist-nets provides sufficient information to estimate capture height biases and compare these estimations to those obtained with traditional elevated mist-net rigs. Of the 29 taxa analyzed, we detected elevated capture biases for 11 (37.9%) and ground-level capture biases for seven (24.1%). When compared to estimates derived from elevated mist-net rigs at the same study site, we found high agreement with ground-level biases (75.0%) and low agreement with elevated biases (23.1%). These results suggest panel height of ground-level nets is a reliable method to estimate ground-level biases; however, scale of sampling may influence elevated biases, particularly for species that center their activity at the mid-story. Recording panel height may be quickly integrated into a station's processing protocols and broader application may improve our understanding of these biases.

  19. d

    Data from: Wildfire smoke impacts the body condition and capture rates of...

    • dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Dec 2, 2024
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    Morgan Tingley; Anna Nihei; Olivia Sanderfoot; Katie LaBarbera (2024). Wildfire smoke impacts the body condition and capture rates of birds in California [Dataset]. http://doi.org/10.5061/dryad.k6djh9wfw
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    Dataset updated
    Dec 2, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Morgan Tingley; Anna Nihei; Olivia Sanderfoot; Katie LaBarbera
    Area covered
    California
    Description

    Despite the increased frequency with which wildfire smoke now blankets portions of world, the effects of smoke on wildlife, and birds in particular, are largely unknown. We used two decades of banding data from the San Francisco Bay Bird Observatory to investigate how fine particulate matter (PM2.5) – a major component and indicator of wildfire smoke – influenced capture rates and body condition of 21 passerine or near-passerine bird species. Across all study species, we found a negative effect of acute PM2.5 exposure and a positive effect of chronic PM2.5 exposure on avian capture rates. Together, these findings are indicative of decreased bird activity or local site removal during acute periods of wildfire smoke, but increased activity or site colonization under chronic smoke conditions. Importantly, we also observed a negative relationship between chronic PM2.5 exposure and body mass change in individuals with multiple captures per season. Our results indicate that wildfire smoke lik..., We used bird banding data spanning 2000–2021 from CCFS, a bird banding station located in north San Jose, a city in the southern region of the California Bay Area. Banding data and metadata were used to create multiple variables for our analysis. For the primary analysis of capture trends, we calculated the number of unique captures of each species for each day of banding (i.e., excluding daily recaptures). For the analysis of changes in body condition, we restricted the analysis to individually marked birds that were captured at least twice between the months of July–November in at least one year. We restricted our analysis to bird species common to California and excluded migratory species that are known to generally be absent from the banding station vicinity during the months of October and November (generally, ‘peak’ fire season along the California coast). For the second analysis of changes in body mass, we began by reducing the data down to individuals that were captured at least..., , # Wildfire smoke impacts the body condition and capture rates of birds in California

    https://doi.org/10.5061/dryad.k6djh9wfw

    We used bird banding data spanning 2000–2021 from CCFS, a bird banding station located in north San Jose, a city in the southern region of the California Bay Area. Banding data and metadata were used to create multiple variables for our analysis. For the primary analysis of capture trends, we calculated the number of unique captures of each species for each day of banding (i.e., excluding daily recaptures). For the analysis of changes in body condition, we restricted the analysis to individually marked birds that were captured at least twice between the months of July–November in at least one year. We restricted our analysis to bird species common to California and excluded migratory species that are known to generally be absent from the banding station vicinity during the months of October and November (generally, ‘pea...

  20. d

    Summer Data for Monitoring Avian Productivity and Survivorship (MAPS)

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    • knb.ecoinformatics.org
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    Updated Jan 6, 2015
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    Tracey Dean; [Canada] Huntsman Marine Science Centre; Organization of Biological Field Stations (2015). Summer Data for Monitoring Avian Productivity and Survivorship (MAPS) [Dataset]. http://doi.org/10.5063/AA/obfs2.408.1
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    Dataset updated
    Jan 6, 2015
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    Tracey Dean; [Canada] Huntsman Marine Science Centre; Organization of Biological Field Stations
    Time period covered
    Jan 1, 1989
    Area covered
    Description

    The St. Andrews Bird Banding Station has been running mist-netting programs to capture and record data on songbirds since 1989. Data from the

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U.S. Geological Survey (2024). North American Bird Banding Program Dataset 1960-2023 retrieved 2023-07-12 [Dataset]. https://catalog.data.gov/dataset/north-american-bird-banding-program-dataset-1960-2023-retrieved-2023-07-12

North American Bird Banding Program Dataset 1960-2023 retrieved 2023-07-12

Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Description

The North American Bird Banding Program is administered through the U.S. Geological Survey (USGS) Bird Banding Laboratory (BBL), Eastern Ecological Science Center at the Patuxent Research Refuge (EESC) and the Bird Banding Office (BBO), Environment and Climate Change Canada (ECCC). The respective banding offices have similar functions and policies and use the same bands, reporting forms and data formats. This long-term dataset (1960-2023) consists of over 83 million bird banding, encounter and recapture records of over 1,000 species covered under the Migratory Bird Treaty Act (MBTA). Data is contributed by US and Canadian bird banding permit holders: federal, state, tribal, local government, non-government agencies, business, university and avocational biologists. Banders capture wild birds and mark them with a metal leg band with a unique 9-digit number. Extra markers may be added. Attributes such as age, sex, condition of bird may be included. Prior to data release, all locations for sensitive species and gamebirds are generalized to larger areas; 10-minute and 1-degree block coordinate precisions respectively. Sensitive species include diurnal raptors, US Threatened, Endangered, and Canadian Species at Risk Act (SARA) species. Gamebirds include waterfowl, cranes, rails, woodcock, doves, crows and ravens. Data are curated at BBL daily, therefore each yearly version may differ from previous releases. Incoming data must pass validation rules to meet quality standards; however, data accuracy is ultimately determined by contributors.

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