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.
3,169
datasets available to search
ShareScore release 0.9.0
Dataset results
3,169 results for “bat”
Fig. 4 in Analysis of COI gene, prevalence, and intensity of the bat fly Cyclopodia greeffi on roosting straw-coloured fruit bat Eidolon helvum in Southwest Nigeria
Fig. 4. Density distribution plot of intensity of Cyclopodia greeffi infestation on Eidolon helvum for sexes and seasons.
Figure 1. A in Contribution to the fauna of bat-parasitizing ticks in Bosnia and Herzegovina
Figure 1. A. Distribution of haplotypes obtained in this research and earlier studies. L and C markings represent the location and country, respectively. The locations are marked with numbers from 1 to 6, whereby (1) denotes Zvornik, (2) Šipovo, (3) Dimitrov grad, (4) Zlot, (5) Rijeka Crnojevića, and (6) Jama Šutonjića cave; B. Dorsal surface of tick sample; C. Ventral surface of tick sample.
Plate 4 in Some noteworthy bat (Mammalia: Chiroptera) records from Manipur State, Northeastern India
Plate 4. Dorsal, ventral and lateral view of cranium and lateral view of mandible of M. muricola from Manipur (ZSIS-450).
Plate 3 in Some noteworthy bat (Mammalia: Chiroptera) records from Manipur State, Northeastern India
Plate 3. Dorsal, ventral and lateral view of cranium and lateral view of mandible of R. yunanensis (ZSIS-423).
Figure 3 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 3. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: tibia length (LTib) against the thumb length (LPol). For explanations see Figure 2.
Figure 6 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 6. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: results of the principal component analysis of the dimensions and relative dimensions of upper canines and premolars. For explanations see Figure 2.
Figure 2 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 2. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: greatest length of skull (LCr) against the length of the upper tooth-row (CM3). The closed symbols denote specimens identified with the help of genetic analysis (with the exception of M. brandtii, for details see text), open symbols all other specimens (arranged to geographical sets); bold capital letters denote holotype specimens of the following taxa: A – Myotis mystacinus aurascens Kuzâkin, 1935; C – Myotis mystacinus caucasicus Tsytsulina, 2000; M – Myotis meinertzhageni Thomas, 1926; P – Myotis mystacinus popovi Strelkov, 1983; R – Myotis mystacinus pamirensis Kuzâkin, 1935; S – Myotis mystacinus sogdianus Kuzâkin, 1934; T – Myotis mystacinus transcaspicus Ogneff & Heptner, 1928.
Figure 5 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 5. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: results of the principal component analysis of all tooth dimensions and relative dimensions. For explanations see Figure 2.
Figure 4 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 4. Bivariate plot of the examined samples of the Myotis mystacinus morphogroup from the Caucasus region: results of the principal component analysis of all skull dimensions and relative dimensions. For explanations see Figure 2.
Figure 1. Bayesian 50 in On the distribution and taxonomy of bats of the Myotis mystacinus morphogroup from the Caucasus region (Chiroptera: Vespertilionidae)
Figure 1. Bayesian 50% majority rule consensus tree depicting the phylogenetic relationships in the Myotis mystacinus morphogroup from the Caucasus region and adjacent parts of the Western Palaearctic based on the cytochrome b sequences.
Figure 1 in Advances in understanding bat infection dynamics across biological scales
Figure 1. Map illustrating the geographical and taxonomic diversity of bat species highlighted in case studies throughout the main text, with approximate study location and photo. Species names are coloured according to bat family, with a simplified phylogeny showing relationships between families. See electronic supplementary material for photo permissions.
Figure 2 in Advances in understanding bat infection dynamics across biological scales
Figure 2. Overarching research priorities for future studies on bat infection dynamics, organized at the individual, population and community scales; S, susceptible; I, infected; R, recovered.
Rapid sensorimotor adaptation to auditory midbrain silencing in free-flying bats
<p>This dataset accompanies the manuscript entitled "Rapid sensorimotor adaptation to auditory midbrain silencing in free-flying bats".<br>The structures contain the preprocessed data for each bat (individual structures for vocal and flight trajectory, or an overall structure for behavior). <br>The original code that allows for the figure generation associated with this manuscript is included. <br>The data for the audiograms and ABRs is also provided in csv format.</p>
Figure 2 in On the Fly: Tritrophic Associations of Bats, Bat Flies, and Fungi
Figure 2. Quantitative bat–bat and fly–Laboulbeniales tripartite interaction network. Nodes (red, green, and blue) represent species, links (grey) represent species interactions. The width of the nodes and links corresponds to the quantitative frequency of surveyed species and the frequency of species interactions, respectively. Bat species nodes are in red, batfly species nodes in green, and Laboulbeniales species nodes in blue. In the batfly nodes, dark green represents those individuals of the bat fly species on which the Laboulbeniales was identified to at least genus level, whereas light green represents the individuals that were infected by Laboulbeniales but where the Laboulbeniales was not identified.
Figure 1 in On the Fly: Tritrophic Associations of Bats, Bat Flies, and Fungi
Figure 1. Hyperparasitism. Left, generalized diagram of hyperparasitism. Red, primary host (bat); green, secondary host/primary parasite (bat fly); blue, secondary parasite/hyperparasite (fungus). Right, Pteronotus parnellii (Mormoopidae), Trichobius yunkeri (Streblidae), Gloeandromyces nycteribiidarum (Laboulbeniales). Images not to scale. Photos: Danny Haelewaters, Thomas Hiller.
Landscape composition and life-history traits influence bat movement and space use: analysis of 30 years of published telemetry data
<p>Using temperate bats, a group of particular conservation concern, we investigated how morphological traits, habitat specialization and environmental variables affect home range sizes and daily foraging movements, using a compilation of 30 years of published bat telemetry data in Northern America and Europe for the period 1988 – 2016.</p> <p>We compiled data on home range size and mean daily distance between roosts and foraging areas at both colony and individual levels from 166 studies of 3,129 radiotracked individuals of 49 bat species. We calculated multi-scale habitat composition and configuration in the surrounding landscapes of all studied roosts. Using mixed models, we examined the effects of habitat availability and spatial arrangement on bat movements, while accounting for body mass, aspect ratio, wing loading and habitat specialization.</p> <p>We found a significant effect of landscape composition on home range size and mean daily distance at both colony and individual levels. On average, home ranges were up to 42% smaller in the most habitat-diversified landscapes while mean daily distances were up to 30% shorter in the most forested landscapes. Bat home range size significantly increased with body mass, wing aspect ratio and wing loading, and decreased with habitat specialization.</p>
Distribution map of occurence of bats roosting in caves in Cameroon
<p>Distribution map of occurence of bats roosts in the caves of Cameroon, as observed by the author during the 2009-2010-2011 speleological prospections. The order (Megachiroptera, Microchiroptera), based on visual assessment, is noted when available.</p>
Echolocation call parameters of Daubenton's bats during exposure to masking noise
<p>Echolocating bats hunt prey on the wing under conditions of poor lighting by emission of loud calls and subsequent auditory processing of weak returning echoes. To do so, they need adequate echo-to-noise ratios (ENRs) to detect and distinguish target echoes from masking noise. Early obstacle avoidance experiments report high resilience to masking in free-flying bats, but whether this is due to spectral or spatiotemporal release from masking, advanced auditory signal detection or an increase in call amplitude (Lombard effect) remains unresolved. We hypothesized that bats with no spectral, spatial or temporal release from masking noise, defend a certain ENR via a Lombard effect. We trained four bats (<em>Myotis daubentonii</em>) to approach and land on a target that broadcasted broadband noise at four different levels. An array of seven microphones enabled acoustic localization of the bats and source level estimation of their approach calls. Call duration and peak frequency did not change, but average call source levels (SL<sub>RMS</sub>, at 0.1 m as dB re. 20 μPa, root-mean-square) increased, from 112 dB in the no-noise treatment, to 118 dB (maximum 129 dB) at the maximum noise level of 94 dB. The magnitude of the Lombard effect was small (0.13 dB SL<sub>RMS</sub>/dB of noise), resulting in mean broadband and narrowband ENRs of -11 and 8 dB respectively at the highest noise level. Despite these poor ENRs, the bats still performed echo-guided landings, making us conclude that they are very resilient to masking even when they cannot avoid it spectrally, spatially or temporally.</p>
Data for Diniz et al. (2022) Changing the main course: strong bat visitation to the ornithophilous mistletoe Psittacanthus robustus (Loranthaceae) in a Neotropical savanna (Biotropica)
<p>The Neotropical genus <i>Psittacanthus</i> comprises mostly specialized ornithophilous mistletoes, with rare exceptions. <i>Psittacanthus robustus </i>is a common ornithophilous species from the South American savannas whose bright-yellow flowers secrete copious diluted nectar. Due to a three-day-long anthesis and a short, non-restrictive floral tube, we suggest that the species also serves as a resource for flower-visiting bats. In a Cerrado area in central Brazil, we investigated the usage of the species by bats through systematic bat captures for pollen sampling, its nocturnal nectar secretion dynamics, mating system, and the relative dependence on diurnal and nocturnal pollinators for reproduction. Nine phyllostomid bat species visited <i>P. robustus</i>. Up to 50% of pollen samples from bats contained the species<i> </i>during peak flowering, equating or surpassing the prevalence of chiropterophilous species and representing roughly a third of the floral resources consumed by specialized nectarivores <i>Glossophaga soricina </i>and <i>Anoura caudifer</i>. Flowers actively produced nectar at night with volume and concentration values in the ideal ranges for bat consumption. Nectar is continuously secreted after sunset and accumulates in the absence of visitors. <i>Psittacanthus robustus </i>is self-compatible but seeds are set mostly by diurnal visitors. Nocturnal animals had a low and secondary contribution to plant fitness. This is the second report of bat pollination for the genus <i>Psittacanthus</i>, and the largest assemblage of bat visitors for the family Loranthaceae. Although ornithophilous, <i>P. robustus </i>is an important resource for bats in the Brazilian savanna, potentially representing a mixed or early transitional state towards bat pollination.</p>
Tree size, microhabitat diversity and landscape structure determine the value of isolated trees for bats in farmland
<p>Isolated trees are increasingly recognised as playing a vital role in supporting biodiversity in agricultural landscapes, yet their occurrence has declined substantially in recent decades. Most bats in Europe are tree-dependent species that rely on woody elements in order to persist in farmlands. However, isolated trees are rarely considered in conservation programs and landscape planning. Further investigations are therefore urgently required to identify which trees – based on both their intrinsic characteristics and their location in the landscape – are particularly important for bats. We acoustically surveyed 57 isolated trees for bats to determine the relative and interactive effects of size, tree-related microhabitat (TreM) diversity and surrounding landscape context on bat activity. Tall trees with large diameter at breast height and crown area positively influenced the activity of <em>Pipistrellus pipistrellus</em> and small Myotis bats (<em>Myotis</em> spp.) while smaller and thinner trees favoured <em>M. myotis</em> activity. The diversity of TreMs that can be used as roosts had a positive effect on (i) <em>Barbastella barbastellus</em> activity only when trees were relatively close (10% within 100 radius scale). The potential benefits of isolated trees for bats result from ecological mechanisms operating at both tree and landscape scales, underlining the crucial need for implementing a multi-scale approach in conservation programs. Maintaining the largest and most TreM-diversified trees located in the most heterogeneous agricultural landscapes will provide the greatest benefits.</p>
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.