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15 results for “plains zebra”
Plains zebra time budgets, social behavior, and communication during the 2021-2022 Laikipia-Samburu ecosystem drought
<p>Anthropogenically induced climate change has significantly increased the frequency of acute weather events, such as drought. As human activities amplify environmental stresses, animals may be forced to prioritize survival over behaviors less crucial to immediate fitness, such as socializing. Yet, social bonds may also buffer organisms from the deleterious effects of environmental conditions. We investigated how the highly social plains zebra (<em>Equus quagga</em>) modify their activity budgets, social networks, and multimodal communication during a drought. This dataset contains a) activity budget, b) steps per minute as a proxy for foraging effort, c) nearest neighbor association data, d) interaction rate, e) juvenile social interaction partner data, and f) multimodal communication data.</p>
Data from: Vocalizations in the plains zebra (Equus quagga)
<p>Acoustic signals are vital in animal communication, and quantifying these signals them is fundamental for understanding animal behaviour and ecology. Vocaliszations can be classified into acoustically and functionally or contextually distinct categories, but establishing these categories can be challenging. Newly developed methods, such as machine learning, can provide solutions for classification tasks. The plains zebra is known for its loud and specific vocaliszations, yet limited knowledge exists on the structure and information content of its vocaliszations. In this study, we employed both feature-based and spectrogram-based algorithms, incorporating supervised and unsupervised machine learning methods to enhance robustness in categoriszing zebra vocaliszation types. Additionally, we implemented a permuted discriminant function analysis (pDFA) to examine the individual identity information contained in the identified vocaliszation types. The findings revealed at least four distinct vocaliszation types he '"snort'," the '"soft snort'," the '"squeal'," and the '"quagga quagga'" with individual differences observed mostly in snorts, and to a lesser extent in squeals. Analyses based on acoustic features outperformed those based on spectrograms, but each excelled in characteriszing different vocaliszation types. We thus recommend the combined use of these two approaches. OuThisr study offers valuable insights into plains zebra vocaliszation, with implications for future comprehensive explorations in animal communication.</p>
Fig. 3 in The gastrointestinal nematodes of plains and Grevy's zebras: Phylogenetic relationships and host specificity
Fig. 3. Crossocephalus viviparus extracted from fresh zebra faeces were often infected with an apparent fungus. Hyphae emerging from the head (left, right) and from the tail (centre) of infected worms and stained with lactophenol blue (right). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in The gastrointestinal nematodes of plains and Grevy's zebras: Phylogenetic relationships and host specificity
Fig. 2. Nematode prevalence in plains vs. Grevy's zebras in (a) a bipartite graph, where edge widths indicate prevalence in each zebra species, and (b) a linear regression, shown in black with shading representing standard error and the one-to-one line indicated by the dashed red line. Only sequences comprising>1% of total reads were used and they were clustered into mOTUs by 98% similarity. Taxon labels followed by a letter signify species-level matches (>98% similarity) to reference worms identified only to genus (see SI2), while those followed by a number represent sequences that matched a reference only to the genus level (>95% similarity). Black boxes/points are taxa without a match of>95% to any identified sequences. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in The gastrointestinal nematodes of plains and Grevy's zebras: Phylogenetic relationships and host specificity
Fig. 1. Phylogeny of all sequenced Strongylidae with species-level taxon assignments from GenBank and the present study, coloured by genus (the same colour code is used across all figures in this paper). Branch tips were pruned such that only one tip was kept of all immediate sister taxa with identical taxon assignments, and the number of samples merged in each tip is indicated in parentheses. Bootstrap percentages over 50% are displayed in bold to highlight nodes with high support. Branch lengths represent the number of base substitutions per site, estimated with the Tamura 3-parameter model assuming gamma-distributed substitution rate variation.
Multimodal communication of adult, subadult, and infant plains zebras (Equus quagga)
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Data from: Vocalizations in the plains zebra (Equus quagga)
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Plains zebra time budgets, social behavior, and communication during the 2021-2022 Laikipia-Samburu ecosystem drought
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Plains zebra 2019 multimodal communication dataset
<p>Multimodality is a virtually ubiquitous feature of communication. With the increasing interest in how animals, including humans, use multimodal and multicomponent signals in social interactions, there is an acute need for standardized and rigorous tools that will allow us to visualize, and analyze these signals as they occur in naturalistic interactions as a complex, integrated system. Network theory is a powerful methodology for intuitively visualizing and investigating the relationships between entities. Here, we propose a new application of network theory for analyzing multimodal communication. Using a case study of natural multimodal interactions in wild plains zebras (<em>Equus quagga</em>), we introduce the descriptive power of network metrics by providing an objective set of metrics to: (a) describe the relationships between simultaneously produced signals within and between modalities; and (b) infer signal meaning and function. Here we make available the multimodal communication data collected during our 2019 field season.</p>
Plains zebra 2019 multimodal communication dataset
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Data from: Parasite-mediated selection drives an immunogenetic tradeoff in plains zebras (Equus quagga)
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Epigenetic models developed for plains zebras predict age in domestic horses and endangered equids
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Population structure, inbreeding and stripe pattern abnormalities in plains zebras
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Methylation studies in plains zebras
GEO Series GSE184223. Homo sapiens; Mus musculus; Equus quagga burchellii; Rattus norvegicus. 118 samples. Type: Methylation profiling by array.
On following pages 3 Tibetan Wıld Ass (Equus kiang), 4 African Wild Ass (Equus africanus), 5 Plains Zebra (Equusquagga),6ZebraGrevy's Zebra (Equus grevyi) 7Mountain Zebra (Equus zebra) pages (Equus), 5 (Equus quagga), Gravy': Equus grevyı, (Equus zebra) in Equidae
On following pages 3 Tibetan Wıld Ass (Equus kiang), 4 African Wild Ass (Equus africanus), 5 Plains Zebra (Equusquagga),6ZebraGrevy's Zebra (Equus grevyi) 7Mountain Zebra (Equus zebra) pages (Equus), 5 (Equus quagga), Gravy': Equus grevyı, (Equus zebra)
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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)
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.