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10 results for “bustard”
Figure 3 in Distribution of the Indian Bustard Ardeotis nigriceps (Gruiformes: Otididae) in Gujarat State, India
Figure 3. Shrinking of distribution range of Indian Bustard in Gujarat. Maps adapted from 3(a) - Dharmakumarsinhiji (1957); 3(b) - Rahmani & Manakadan (1990); 3(c) - Rahmani & Manakadan (1990) and Rahmani (2001); Incidental sightings of the species of 2005 and 2008 have not been shown in the map which indicates 3(d) - distribution from 2001 onwards; 3(e) - Based on present study and incidental sighting.
Non-systematic surveys reveal increases in areas occupied by endangered and data-deficient Nubian bustard
<p>This repository contains the R scripts and data to reproduce the analysis of the manuscript <a href="https://doi.org/10.1016/j.gecco.2023.e02682">https://doi.org/10.1016/j.gecco.2023.e02682</a></p>
Figure 2 in Distribution of the Indian Bustard Ardeotis nigriceps (Gruiformes: Otididae) in Gujarat State, India
Figure 2. Annual distriution of Indian Bustard in Kachchh (Gujarat) between 2006–2007
Figure 1 in Distribution of the Indian Bustard Ardeotis nigriceps (Gruiformes: Otididae) in Gujarat State, India
Figure 1. Stuey area
Data for: Ranking the importance of factors driving siring success during sperm competition in the North African houbara bustard
<p><span>Sperm competition is a powerful force driving the evolution of ejaculate and sperm traits. However, the outcome of sperm competition depends on many traits that extend beyond ejaculate quality. Here, we studied male North African houbara bustards (</span><em><span>Chlamydotis undulata undulata</span></em><span>) competing for egg fertilization, after artificial insemination, with the aim to rank the importance of 14 parameters as drivers of siring success. Using a machine learning approach, we showed that traits independent of male quality (i.e., insemination order, delay between insemination and egg laying) were the most important predictors of siring success. Traits describing intrinsic male quality (i.e., number of sperm in the ejaculate, mass motility index) were also positively associated with siring success, but their contribution to explaining the outcome of sperm competition was much lower than for insemination order. Overall, this analysis shows that males mating at the last position in the mating sequence have the best chance to win the competition for egg fertilization. This raises the question of the importance of female behavior as determinant of mating order. </span></p>
Data for: Ranking the importance of factors driving siring success during sperm competition in the North African houbara bustard
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Data and code from: A large-scale experiment demonstrates line marking reduces power line collision mortality for large terrestrial birds, but not bustards, in the Karoo, South Africa
<p>Line markers are widely used to mitigate bird collisions with power lines, but few studies have robustly tested their efficacy. Power line collisions are an escalating problem for several threatened bird species endemic to southern Africa, so it is critical to know whether or not marking works to adequately manage this problem. Over 8 years, a large-scale experiment was set up on 72 of 117 km of monitored transmission power lines in the eastern Karoo, South Africa, to assess whether line markers reduce bird collision mortality, particularly for Blue Cranes <i>Grus paradisea</i> and Ludwig's Bustards <i>Neotis ludwigii</i>. We tested the two marking devices commonly used in South Africa: bird flappers and static bird flight diverters. Using a before-after-control-impact design, we show that line marking reduced collision rates for Blue Cranes by 92% (95% CI 77-97%) and all large birds by 51% (95% CI 23-68%), but had no effect on bustards. Both marker types appeared similarly effective. Given that monitoring at this site also confirmed high levels of mortality of a range of species of conservation concern, we recommend that marking be widely installed on new power lines. However, other options need to be explored urgently to reduce collision mortality of bustards. Five bustard species were in the top ten list of most frequently found carcasses, and high collision rates of Ludwig's Bustards (0.68 birds·km<sup>-1</sup>·year<sup>-1</sup> uncorrected for survey biases) add to wider concerns about population level effects for this range-restricted and Endangered species. </p> <p>This dataset includes the data and R code for this journal paper.</p>
FIGURE 1 in The generic position of the Nubian Bustard Neotis nuba (Cretzschmar, 1826) (Aves: Otididae)
FIGURE 1. Wild-caught captive male Neotis nuba preserved in the National Museum of Scotland (NMS Z.2023.48.1), showing the two groups of outer rectrices and the deep gap between them such that the central rectrices cannot be seen. Photograph: P. F. Donald, © National Museums Scotland, Edinburgh.
FIGURE 2 in The generic position of the Nubian Bustard Neotis nuba (Cretzschmar, 1826) (Aves: Otididae)
FIGURE 2. Male Nubian Bustard Neotis nuba in display, Ouadi Rimé‒Ouadi Achim Faunal Reserve, Chad, 26 September 2022 (T. Wacher). Reproduced from Collar & Wacher (2023).
Data and code from: A large-scale experiment demonstrates line marking reduces power line collision mortality for large terrestrial birds, but not bustards, in the Karoo, South Africa
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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)
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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.