Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
209
datasets available to search
ShareScore release 0.9.0
Dataset results
209 results for “bird survey”
CBS06 Line transects surveys of breeding birds throughout Konza Prairie
Like CPB01 and PBG051, this dataset includes records of bird species based on line transect sampling. These surveys re-initiate most of the original KNZ transects surveyed from 1981-2009 (initiated by Zimmerma), continue the two focal 300-m transects conducted from 2011-2016 by Sandercock on watersheds C3A, C3B, C3C, C1A, and 1D, (but not the peripheral segments which have been dropped), and adds two new 300-m transects to additional watersheds with the goals of (i) replicating all surveyed treatments at the watershed level, (ii) adequately sampling the grassland habitats present on Konza as of 2017, (iii) capturing transitions in bird community in response to woody encroachment and fire reversal treatments. The goals are to document and quantify long-term changes in the population sizes of breeding birds at Konza prairie by obtaining a standardized measure of annual breeding bird abundance at the site level and individual watershed or treatment level.
Surveys of salt marsh wading birds and shorebirds in Massachusetts at Plum Island Sound, PIE LTER and portions of Essex Bay
This data set is part of a study of how wading birds, primarily Great and Snowy Egrets are using different estuarine habitats at Plum Island Sound. It contains the results of count surveys of wading birds in the salt marshes of the Plum Island Estuary and parts of adjacent Essex Bay. Surveys were carried out from May to October in 2012 and 2013, additional sampling occurred in July 2014 and summer of 2018. Bird counts took place from 37 observation points around the bay and documented species, estimated distance from observer, habitat of each individual bird counted and its behavior (feeding, resting, etc.).
Data on rainforest birds from line transect surveys in the Kalakad - Mundathurai Tiger Reserve, Tamil Nadu, India
<p>This dataset contains data on rainforest bird communities collected along line transects in Kalakad - Mundanthurai Tiger Reserve, Tamil Nadu, India, as part of doctoral research leading up to the following thesis:<br>Raman, T. R. S. 2001. Community ecology and conservation of mid-elevation tropical rainforest bird communities in the southern Western Ghats, India. PhD thesis, Indian Institute of Science, Bangalore.<br><br>Part of the data (from transects T2 and T3, in particular) was used in the following publication:<br>Raman, T. R. S. 2003. Assessment of census techniques for inter-specific comparisons of tropical rainforest bird densities. <em>Ibis</em> 145: 9-21. <a href="http://doi.org/10.1046/j.1474-919X.2003.00105.x">http://doi.org/10.1046/j.1474-919X.2003.00105.x</a><br><br>The Raman (2003) publication also uses bird point count data (from T2 and T3) available in a related dataset: <br>Raman, T. R. S., Mudappa, D., Jeganathan, P., Joshi, N. V., Sukumar, R. 2022. Data on bird communities and vegetation in relation to altitude and habitat alteration in the Kalakad - Mundanthurai Tiger Reserve, Tamil Nadu, India. Dryad, Dataset, <a href="https://doi.org/10.5061/dryad.41ns1rngj">https://doi.org/10.5061/dryad.41ns1rngj</a></p> <p>GEOGRAPHICAL AREA: Kalakad-Mundathurai Tiger Reserve (KMTR), 895 km² sanctuary located between 8°25′ to 8°53′ N and 77°10′ to 77°35′ E in Tamil Nadu state in the Western Ghats mountain range of India.</p> <p>TAXONOMIC SCOPE: Birds, mammals</p> <p>ACKNOWLEDGEMENT: I am grateful to P. Pavithra for help with data entry and compilation.</p>
Figure 1. A in Survey of the Non-Migratory Birds of the Rock Islands Southern Lagoon World Heritage Site in Palau
Figure 1. A. Map of Palau. B. Map of the island groups of the Rock Islands Southern Lagoon World Heritage Site study area (inset). Our survey included all 10 island groups. Scale marker = 5 km..
Cetacean sightings, n T.t.ponticus 59 45 22 4 2 3 1 2 0 0 4 1 June July August September Fig. 4. Sightings per month for each species. in Vantage point surveys of cetaceans (Mammalia, Cetacea) and their interactions with marine birds
Cetacean sightings, n T.t.ponticus 59 45 22 4 2 3 1 2 0 0 4 1 June July August September Fig. 4. Sightings per month for each species.
Fig. 1 in Vantage point surveys of cetaceans (Mammalia, Cetacea) and their interactions with marine birds
Fig. 1. Cetacean sightings at Cape Emine (white dot) between June-September, 2021 (blue – T. t. ponticus, green – P. p. relicta, red – D. d. ponticus, yellow - vantage - point).
Fig. 2. Feeding activity during the 2021 in Vantage point surveys of cetaceans (Mammalia, Cetacea) and their interactions with marine birds
Fig. 2. Feeding activity during the 2021 observations at Cape Emine - white dot; blue – T. t. ponticus, green – P. p. relicta, red – D. d. ponticus, yellow - vantage - point.
Data on rainforest birds from line transect surveys in the Kalakad - Mundathurai Tiger Reserve, Tamil Nadu, India
Open the record for dataset details and reuse information.
Songbird surveys , 1952 - 1964, 1983 - 2008 Adirondack Long-Term Ecological Monitoring Program Project No. 2 Breeding Birds by Adirondack Ecological Center of the State University of New York College of Environmental Science and Forestry, Newcomb, New York. Environmental Data Initiative.
Study objectives were to (1) Document long-term trends in relative abundance and diversity of breeding forest birds (songbirds) in forest stands with different harvest histories and (2) Identify bird species that can be used as indicators of habitat change or degradation. Declines in neotropical migrants have been linked to changes in habitat quantity and quality across species' range. Songbirds that nest and forage in different habitat types or at different heights in the forest canopy may not be affected equally by forest change or management. We detected breeding songbirds using point-counts at Huntington Wildlife Forest (HWF) in the central Adirondack Mountains of New York during 1983-2000 and modeled on an original songbird point count dataset from Webb et al. (1977). Relative abundance (RA, the number of individual birds/count) was measured in sites with differing management histories, from an unmanaged >300-year-old stand to a stand cut with the shelterwood/overstory removal method just prior to sampling in 1983). Over eighty bird species were detected during the study duration. Songbird ecology and habitat characteristics can be used to understand long-term changes in relative abundance as related to forest change.
Biodiversity - Fauna - Bird Survey (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/191/4, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bes/543/170. The abstract below was extracted from the Level 0 data package and is included for context: This dataset is associated with BES Bird Monitoring Bird Monitoring Project: ================= The BES Bird Monitoring Project is a breeding bird survey designed to find out what birds are found in the breeding season in Baltimore and where. Our monitoring efforts will show associations among block group socioeconomic variables, land cover, land use, and habitat features with breeding bird abundance, to provide information for land managers on possible consequences of land use changes on bird communities. A distinguishing feature of the bird monitoring at BES LTER, relative to other urban bird work, is the capacity for long-term monitoring of features at multiple scales through links to other parts of the project. Different processes influence habitat for birds at different scales, e.g. ongoing household level human decision-making at lot scale vs. block or neighborhood scale abandonment/re-development. Our project seeks to understand how these processes impact bird occurrence, abundance, and composition differ at the lot, block and neighborhood scale. The database consists of four tables. Sites, Surveys, Taxalist, and Birds. Sites records thje sites and their characteristics. Surveys describe the actual outings or sampling sessions. They describe the weather, the temperature, the sites visited. Taxalist provides the integration of speciaies abbreviations and common names, and Birds describes the actual sightings, linking to the other three tables. Attribute info
Vegetation surveys at CAP LTER ripirain-area bird-monitoring locations in the greater Phoenix metropolitan area (2013)
Over the past half-century, the greater Phoenix metropolitan area (GPMA) has been one of the fastest growing regions in the US, experiencing rapid urban expansion in addition to urban intensification. This backdrop provides an ideal setting to monitor biodiversity changes in response to urbanization, and the CAP LTER has been using a standardized point-count protocol to monitor the bird population throughout the GPMA and surrounding Sonoran desert region since 2000. A subset of these bird-monitoring sites are located in riparian areas, and additional riparian-area monitoring locations centered on the Salt River as it runs through the GPMA were added in 2013 and 2014. In May and June of 2013, the CAP LTER surveyed the vegetation in 6,400 square meter plots around all of these riparian-area sites as part of an analysis of change in bird abundance and community composition. This dataset catalogs the results of vegetation surveys at nineteen bird-monitoring sites in riparian areas of the GPMA.
SGS-LTER Avian Road Counts (Breeding Bird Survey) in eastern Colorado, USA 1994-2002
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado. The data table and associated metadata document, which is in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The Breeding Bird Survey is a large-scale survey of North American birds. It is a roadside survey, primarily covering the continental United States and southern Canada, although survey routes have recently been initiated in Alaska and northern Mexico. The BBS was started in 1966, and the over 3,500 routes are surveyed in June by experienced birders. Routes 305, Nunn and 901, Rockport are located in the area of the SGS research site. The primary objective of the BBS has been the estimation of population change for songbirds. However, the data have many potential uses, and investigators have used the data to address a variety of research and management objectives. In the USGS-BBS Home Page, reults from the BBS are summarized, and pictures of birds and other species information. Data from 1966 - 2002 were managed by the SGS-LTER project. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82150.
Bird abundance data for the period 2002-2014 from the French Breeding Bird Survey (STOC)
<p>Abundance data on breeding birds from the French Breeding Bird Survey (Suivi Temporel des Oiseaux Communs, STOC), for the period 2002-2014.</p> <p>The dataset comprises 7,115 bird communities. Only 107 common species were included in the study. </p>
Castlebanny Wind Farm, Co' Kilkenny: Gittings Nagle Meade bird survey datasets
<p>Bird survey datasets from surveys carried out by the Gittings Nagle Meade (GNM) survey team for the Castlebanny Wind Farm, Co. Kilkenny, Ireland, 2016-2018. For further details about these surveys see: Gittings, T. (2020b).<em> Castlebanny Wind Farm, Co. Kilkenny: Ornithological Desk Review and Survey Report</em>. Included as Appendix 1 of the Ornithology chapter in the Castlebanny Wind Farm Environmental Impact Assessment Report.</p>
Survey of winter bird communities and vegetation in the Oregon Coast Range
<p>We re-surveyed forest bird communities during winter in seven large plots originally surveyed by graduate student, Stanley Anderson, from 1968 through 1970, near Corvallis, Oregon, USA. The forests in plots in the Coast Range Mountain foothills were and are currently dominated by Douglas-fir (Pseudotsuga menziesii). Anderson's thesis included plot locations, summaries of vegetation characteristics and point estimates of bird densities for each plot. Because of the lack of similar data, we re-surveyed his plots after aligning methods with his and added modern components (distance and time interval sampling) to facilitate comparisons of changes in abundances. We preserved more extensive metadata than were preserved from Anderson's surveys, including georeferenced point count survey locations to facilitate more precisely repeatable future re-surveys. We also measured vegetation characteristics to compare structural changes since Anderson's measurements.</p>
Feasibility of urban bird and nest amount evaluation by the street view image virtual survey
<p>The use of Street View maps in urban bird and nest surveys is worth exploring. Using Baidu Street-View (BSV) map, 49338 seamless spherical photos of 2741 sites were collected in Qingdao. Study evaluated the effectiveness and reproducibility of birds and nests using three observation angles and four experimenters. The BSV method and citizen science data were compared to evaluate their spatial distribution consistency. The BSV time machine is used to assess them time dynamics. The environment of the sampling sites with birds or nests was also surveyed information and evaluated the optimal environment. BSV photos can identify bird and nest, and different people had high repeatability on the evaluations. Bird nests selection middle-view BSV images could save 2/3 time used in the checks with >93% precision. Most citizen bird-watching sites overlapped or were close to nest hotspot areas from the BSV method and nests were more prevalent. The BSV time machine is suitable for investigating bird's nests. Nests and birds are more likely to be found in the leafless early spring, on large, traffic-dense coastal streets with complex vertical tree structures, and around tall buildings. For further urban bird research and conservation, this approach provides a pre-experimental and informative supplement.</p>
Grassland bird population declines at three Breeding Bird Survey spatial scales in contrast to a large native prairie
<p>Grassland biomes in North America are threatened by agricultural intensification with implications for grassland associated bird populations via habitat loss, alteration, pesticide use and declining landscape heterogeneity. Despite decades of conservation concern, steep declines of North American grassland bird populations continue. Key to optimizing conservation effort is understanding how land-use practices, such as agriculture, across the annual cycle affects population status. Determining the relative influence of impacts on grassland bird declines is difficult given that the most robust estimates of population trends, the North American Breeding Bird Survey (BBS), are from surveys throughout agriculturally dominated regions. Our goal was to explore whether agriculture during the breeding season is a major driver of grassland bird declines. We derived trends for 16 grassland bird species spanning 23 years (1994-2016) at a large (459 km2), native prairie site, Suffield National Wildlife Area (SNWA) in Alberta, Canada. We compared those trends to the BBS across three spatial scales, a regional monitoring scheme with higher than average native grass cover (GBM), BCR 11 - Canada (Canada) and all of BCR 11 (BCR 11). Trends measured as annual percent change and credible interval varied greatly among species and survey strata. Across all species, declines were greatest for Canada (-1.3%, CI: -2.8, 0.0) and BCR 11 (-1.9%, CI: -3.2, -0.6). This contrasts with positive mean trends for GBM routes (1.0%, CI: -0.4, 2.3) and the SNWA data (1.7%, CI: 0.3, 3.3). Six of 16 species at SNWA were increasing with one decreasing. Five species increased at GBM and four declined. Canada had 10 species declines and three increases and BCR 11 had 10 declines and no increases. None of six grassland obligate species declined at SNWA, two declined at GBM, and all six declined over the two larger BBS strata. Our results showing fewer negative population trends at a large native grassland site compared to BBS at three spatial scales across the North American prairies support the prediction that agricultural intensification on breeding grounds is a major driver of declining populations and protection of remaining native grasslands should remain a key component of grassland bird conservation efforts.</p>
Hovione Wind Turbine: bird survey datasets, March 2023 - March 2024
<p>Bird surveys carried out to inform the Environmental Impact Assessment Report and Natura Impact Statement for a proosed wind turbine at the Hovione Cork site, Ringaskiddy, Co. Cork, Ireland</p>
Hovione Wind Turbine: bird survey datasets, summer 2024
<p>Bird surveys carried out to supplement the Environmental Impact Assessment Report and Natura Impact Statement for a proposed wind turbine at the Hovione Cork site, Ringaskiddy, Co. Cork, Ireland</p>
Table 1 in Survey of the Non-Migratory Birds of the Rock Islands Southern Lagoon World Heritage Site in Palau
<p>Table 1. List of the non-migratory wild birds detected during the survey of the Rock Islands Southern Lagoon World Heritage Site. * = Palau endemic species. <b>†</b> = Micronesia regional endemic species. ‡ = Introduced species. [EN] = Endangered species. Frequency values indicate the number of counts during which a species was detected. Shaded areas in the columns to the right indicate detection of a species at an island group: Column a=Ngeruktabel, b=Ulong, c=Mecherechar, d=Ngerechong, e=Ngemelis, f=Babelchomekang, g=Ulebsechel, h=Ngerukuid, i=Ngeanges, j=Kmekumer.</p><table><tbody><tr><th>English Name</th><th>Scientific Name</th><th>Frequency</th><th><b>a b c d e f g h i j</b></th></tr></tbody><tbody><tr><th>Palau Fruit Dove*</th><td><i>Ptilinopus pelewensis</i></td><td>129</td><td></td></tr><tr><th>Micronesian Starling <b>†</b></th><td><i>Aplonis opaca</i></td><td>122</td><td></td></tr><tr><th>Black Noddy</th><td><i>Anous minutus</i></td><td>114</td><td></td></tr><tr><th>Micronesian Myzomela <b>†</b></th><td><i>Myzomela rubratra</i></td><td>112</td><td></td></tr><tr><th>Collared Kingfisher</th><td><i>Todiramphus chloris</i></td><td>108</td><td></td></tr><tr><th>Palau Flycatcher*</th><td><i>Myiagra erythrops</i></td><td>103</td><td></td></tr><tr><th>Dusky White-eye*</th><td><i>Zosterops finschii</i></td><td>96</td><td></td></tr><tr><th>Palau Fantail*</th><td><i>Rhipidura lepida</i></td><td>93</td><td></td></tr><tr><th>Palau Bush Warbler*</th><td><i>Horornis annae</i></td><td>90</td><td></td></tr><tr><th>White Tern</th><td><i>Gygis alba</i></td><td>90</td><td></td></tr><tr><th>Micronesian Megapode <b>†</b> [EN]</th><td><i>Megapodius laperouse</i></td><td>84</td><td></td></tr><tr><th>Palau Swiftlet*</th><td><i>Aerodramus pelewensis</i></td><td>72</td><td></td></tr><tr><th>Morningbird*</th><td><i>Pachycephala tenebrosa</i></td><td>70</td><td></td></tr><tr><th>White-tailed Tropicbird</th><td><i>Phaethon lepturus</i></td><td>69</td><td></td></tr><tr><th>Micronesian Imperial Pigeon <b>†</b></th><td><i>Ducula oceanica</i></td><td>52</td><td></td></tr><tr><th>Sulphur-crested Cockatoo‡</th><td><i>Cacatua galerita</i></td><td>47</td><td></td></tr><tr><th>Palau Cicadabird*</th><td><i>Coracina monacha</i></td><td>28</td><td></td></tr><tr><th>Eclectus Parrot‡</th><td><i>Eclectus roratus</i></td><td>26</td><td></td></tr><tr><th>Nicobar Pigeon</th><td><i>Caloenas nicobarica</i></td><td>23</td><td></td></tr><tr><th><b>Giant White-eye*</b></th><td><i>Megazosterops palauensis</i></td><td>21</td><td></td></tr><tr><th>Citrine White-eye <b>†</b></th><td><i>Zosterops semperi</i></td><td>16</td><td></td></tr><tr><th>Blue-faced Parrotfinch</th><td><i>Erythrura trichoa</i></td><td>12</td><td></td></tr><tr><th>Palau Ground Dove*</th><td><i>Alopecoenas canifrons</i></td><td>11</td><td></td></tr><tr><th>Pacific Reef Heron</th><td><i>Egretta sacra</i></td><td>11</td><td></td></tr><tr><th>Brown Noddy</th><td><i>Anous stolidus</i></td><td>8</td><td></td></tr><tr><th>Bridled Tern</th><td><i>Onychoprion anaethetus</i></td><td>7</td><td></td></tr><tr><th>Rufous Night Heron</th><td><i>Nycticorax caledonicus</i></td><td>7</td><td></td></tr><tr><th>Rusty-capped Kingfisher*</th><td><i>Todiramphus pelewensis</i></td><td>6</td><td></td></tr><tr><th>Greater Crested Tern</th><td><i>Thalasseus bergii</i></td><td>5</td><td></td></tr><tr><th>Black-naped Tern</th><td><i>Sterna sumatrana</i></td><td>4</td><td></td></tr><tr><th>Little Pied Cormorant</th><td><i>Microcarbo melanoleucos</i></td><td>2</td><td></td></tr><tr><th>Tropical Shearwater</th><td><i>Puffinus bailoni</i></td><td>2</td><td></td></tr><tr><th>Great Frigatebird</th><td><i>Fregata minor</i></td><td>2</td><td></td></tr><tr><th>Brown Booby</th><td><i>Sula leucogaster</i></td><td>1</td><td></td></tr><tr><th>Slaty-legged Crake</th><td><i>Rallina eurizonoides</i></td><td>1</td><td></td></tr><tr><th>Palau Owl*</th><td><i>Pyrroglaux podargina</i></td><td>1</td><td></td></tr><tr><th>Palau Nightjar*</th><td><i>Caprimulgus phalaena</i></td><td>1</td><td></td></tr></tbody></table>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.