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38 results for “bat echolocation”
Data and code for paper "Stealth echolocation in aerial hawking bats reflects a substrate gleaning ancestry"
<p>- Bat_gleaning_ancestral_recon.R (in folder "AncestralStateReconstruction") reads shi_rabosky_2015_spp1A.csv and does the ancestral state reconstruction</p> <p>- Lewanzik.et.al_Lombard.effect.R (in folder "LombardEffect") reads Lewanzik.et.al_Lombard.data.csv to produce Fig. 2 and to model source levels as a function of noise treatment (silence vs white noise playback)</p> <p>- figure3.m and figure4.m (in folder "EcholocationParameters") is the Matlab code to produce Fig. 3 and Fig. 4, respectively. These .m-files use code in the "private" folder and data (.mat files) in the "Barbastella" and "Pygmaeus" folders.</p>
Acoustic camouflage increases with body size and bat echolocation frequency range in a community of nocturnally-active Lepidoptera
<ol> <li>Body size is an important trait in predator-prey dynamics as it is often linked to detection, as well as the success of capture or escape. Larger prey, for example, often runs higher risk of detection by their predators, which imposes stronger selection on their anti-predator traits compared to smaller prey.</li> <li>Nocturnal Lepidoptera (moths) vary strongly in body size, which has consequences for their predation risk, as bigger moths return stronger echoes for echolocating bats. To compensate for increased predation risk, larger moths are therefore expected to have improved anti-predator defences. Moths are covered by different types of scales, which for a few species are known to absorb ultrasound, thus providing acoustic camouflage. Here we assessed whether moths differ in their acoustic camouflage in a size-dependent way by focusing on their body scales and the different frequency ranges used by bats.</li> <li>We used a sonar head to measure 3D echo scans of a total of 111 moth specimens across 58 species, from eight different families of Lepidoptera. We scanned all the specimens and related their echo-acoustic target strength to various body size measurements. Next, we removed the scales covering the thorax and abdomen and scanned a subset of specimens again to assess the sound-absorptive properties of these scales.</li> <li>Comparing intact specimens with descaled specimens we found almost all species to absorb ultrasound, reducing detection risk on average by 8%. Furthermore, the sound absorptive capacities of body scales increased with body size suggesting that larger species benefit more from acoustic camouflage. The size-dependent effect of camouflage was in particular pronounced for the higher frequencies (above 29 kHz), with moth species belonging to large-bodied families consequently demonstrating similar target strengths compared to species from small-bodied families. Finally, we found the families to differ in frequency range that provided the largest reduction in detection risk, which may be related to differences in predation pressure and predator communities of these families.</li> <li>In general, our findings have important implications for predator-prey interactions across eco-evolutionary timescales and may suggest that acoustic camouflage played a role in body size evolution of nocturnally-active Lepidoptera. </li> </ol>
Hearing sensitivity and amplitude coding in bats are differentially shaped by echolocation calls and social calls
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Acoustic camouflage increases with body size and bat echolocation frequency range in a community of nocturnally-active Lepidoptera
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Data from: Molecular diet analysis finds an insectivorous desert bat community dominated by resource sharing despite diverse echolocation and foraging strategies
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Data from: Echolocation and roosting ecology determine sensitivity of forest-dependent bats to coffee agriculture
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Data from: Weather conditions determine attenuation and speed of sound: environmental limitations for monitoring and analysing bat echolocation
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Data from: From understory to canopy: in situ behavior of Neotropical forest katydids in response to bat echolocation calls
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Data from: A 2.6‐g sound and movement tag for studying the acoustic scene and kinematics of echolocating bats
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Data from: Socially foraging bats discriminate between group members based on search-phase echolocation calls
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buzzfindr: Automating the detection of feeding buzzes in bat echolocation recordings
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Tables of microRNA and gene expression of an echolocating bat
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Data from: The evolution of bat vestibular systems in the face of potential antagonistic selection pressures for flight and echolocation
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Resistance to age-related hearing loss in the echolocating big brown bat (Eptesicus fuscus)
GEO Series GSE274777. Rattus norvegicus; Eptesicus fuscus; Homo sapiens; Mus musculus. 23 samples. Type: Methylation profiling by array.
FIG. 3 in Recent surveys of bats from the Andaman Islands, India: diversity, distribution, and echolocation characteristics
FIG. 3. Representative spectrograms of calls of echolocating bats of Andaman Islands, India. Calls analysed in AnalookW. Acronyms: H. d. m. — Hipposideros diadema masoni, H. g. — H. grandis, H. p. — H. pomona (new phonotype), H. t. — Hesperoptenus tickelli, T. r. — Tylonycteris robustula
FIG. 1 in Recent surveys of bats from the Andaman Islands, India: diversity, distribution, and echolocation characteristics
FIG. 1. Map of Andaman Islands, India showing the locations of the selected survey sites. Key to numbered sites: 1 — Bamboo Nullah, 2 — Baratang Island, 3 — Burmadera, 4 — Chidiatapu, 5 — Chipo, 6 — Devpur, 7 — Diglipur, 8 — Port Blair, 9 — Havelock Island, 10 — Little Andaman Island, 11 — Interview Island, 12 — Neil Island, 13 — Karmatang, 14 — Mayabundar, 15 — Chalis Ek, 16 — Ramnagar, 17 — Ross Island, 18 — Rutland Island, 19 — Wandoor, 20 — Webi, and 21 — Wimberlygunj
, second phalanx of the third metacarpal length (2 ph 3 mt), first phalanx of the fourth metacarpal length (1 ph 4 mt) and second phalanx of the fourth metacarpal length (1 ph 4 mt); n indicates the number of individuals collected in Recent surveys of bats from the Andaman Islands, India: diversity, distribution, and echolocation characteristics
, second phalanx of the third metacarpal length (2 ph 3 mt), first phalanx of the fourth metacarpal length (1 ph 4 mt) and second phalanx of the fourth metacarpal length (1 ph 4 mt); n indicates the number of individuals collected
Brain transcriptomes reveal the molecular mechanism of echolocation in bats
GEO Series GSE40993. Cynopterus sphinx; Rhinolophus affinis; Taphozous melanopogon; Miniopterus fuliginosus; Eonycteris spelaea; Myotis laniger; Rousettus leschenaultii; Hipposideros armiger. 8 samples. Type: Expression profiling by high throughput sequencing.
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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.