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”
Experimental light at night of different spectra alters movement patterns of bats along ecological corridors
<p>Data used for the study. </p> <p>Meaning of codes for "spectra" and "lamppost_side" variables:</p> <p>- C = control</p> <p>- G = green</p> <p>- R = red</p> <p>- W = white</p> <p>- L = left</p> <p>- R = right</p>
Swift BAT Mosaic Pattern Noise Maps
<p>This dataset is the noise pattern maps that are needed to analyze Swift BAT data and produce "time integrated" mosaic images using the <a href="https://github.com/parsotat/BatAnalysis">BatAnalysis</a> python package. </p> <p>The file can be untarred and placed into a directory accessible by python such that these files can be used in the analysis of BAT data. </p> <p>These pattern maps are from 2004 day 350 (2004-12-15) to 2019 day 212 (2019-07-31). </p>
Increasing species richness along elevational gradients is associated with niche packing in bat assemblages
<p>1. The change in species richness along elevational gradients is a well-known pattern in nature. Niche theory predicts that increasing species richness in assemblages can either lead to denser packing of niche space ('niche packing') or an expansion into its novel regions ('niche expansion'). Traditionally, these scenarios have been studied using functional traits, but stable isotopes provide advantages such as identifying the degree of resource specialisation or niche partitioning among functionally similar species.</p> <p>2. In this study, we evaluate the relevance of niche packing vs. niche expansion by investigating stable carbon and nitrogen isotopic niche width and overlap among 23 bat species from six functional groups across a 1500 m elevational gradient in the Himalaya.</p> <p>3. Our results suggest that an increase in species richness in the low elevation is accompanied by small niche width with high overlap, whereas the high elevation assemblage shows large niche width with low overlap among functional group members. At the functional group level, edge-space foraging, trawling, and active gleaning bats have the highest niche width while passive-gleaning bats that are only found in high elevations are isotopic specialists showing low overlap with other groups. Edge and open-space foraging bats showed idiosyncratic changes in niche width across elevations. We also find that the niches of rhinolophid bats overlap with edge-space and open-space foraging bats despite their unique functional traits.</p> <p>4. These results support the idea that, at low elevations, high species richness is associated with niche packing while at high elevations, strong niche partitioning prevails in dynamic and resource-poor environments. We conclude that although high-elevation animal assemblages are often 'functionally underdispersed', i.e. show homogenous functional traits, our approach based on stable isotopes demonstrates niche partitioning among such functionally similar species.</p>
Figure 2 in Life post-death: Colonization of a bat carcass by Microcerella halli (Engel, 1931) (Diptera: Sarcophagidae) in a Neotropical cave
Figure 2. Timeline of bat carcass colonization, depicting the data required for the estimation of minPMI. Icons made by AmethystDesign, Culmbio, Freepik, and Nadiinko from https://www.flaticon.com.
Figure 1 in Life post-death: Colonization of a bat carcass by Microcerella halli (Engel, 1931) (Diptera: Sarcophagidae) in a Neotropical cave
Figure 1. (A) Map showing the location of the cave where the bat carcass was found. (B) View of the entrance of the'Furna do Morcego′ cave. (C) Bat (Mormoopidae: Pteronotus gymnonotus) carcass hanging from the cave wall. (D) Detail of carcass colonized by Microcerella halli (Diptera: Sarcophagidae) larvae. The shaded area corresponds to the Caatinga (seasonally dry tropical forest).
Acoustic activity of bats at power lines correlates with relative humidity: A potential role for corona discharges
<p><span>With the ever-increasing dependency on electric power, electrical grid networks are expanding worldwide. Bats exhibit a wide diversity of foraging and flight behaviours, and their sensitivity to anthropogenic stressors suggests this group is very likely to be affected by power lines in a myriad of ways. Yet the effects of power lines on bats remain unknown. Here we assessed the responses of insectivorous bats to very-high-voltage power lines (>220 kV, VHVPL). We implemented a paired sampling design and monitored bats acoustically at 25 pairs, one pair consisting of one forest edge near to VHVPL matched with one control forest edge. Relative humidity mediates the effects of power lines on bats: we detected bat attraction to VHVPL at high relative humidity levels and avoidance of VHVPL by bats at low relative humidity levels. We argue that the former could be explained by insect attraction to the light emitted by VHVPL due to corona discharges while the latter may be due to the physical presence of pylons/cables at foraging height and/or because of electromagnetic fields. Our work highlights the response of bats to power lines at foraging habitats, providing new insight into the interactions between power lines and biodiversity.</span></p>
Data for: Species richness and assemblages of bats along a forest elevational transect in Papua New Guinea
Over the past decades, elevational gradients have become a powerful tool with which to understand the underlying cause(s) of biodiversity. The Mt. Wilhelm elevational transect is one such example, having been used to study the birds, insects, and plants of Papua New Guinea (PNG). However, a survey of mammals from this forest elevational transect was lacking. We thus aimed to investigate patterns in the community structure and species richness of bats (Chiroptera) along the transect, link the species to available regional data, and explain the observed patterns by including environmental characteristics. Bat assemblages were surveyed between 200 m and a timberline at 3,700 m a.s.l. at eight study sites separated by 500 m in elevation. We conducted mist-netting and acoustic surveys to detect and identify species at each site. Regional data were compiled to compare local with regional diversity. Finally, biotic (i.e., food availability, habitat features) and abiotic (i.e., mean daily temperature) factors were included in our analyses to disentangle the ecological drivers underlying bat diversity. Results revealed that species richness decreases with ascending elevation and was best explained by a corresponding decrease in temperature. We observed both turnover and nestedness of the species composition at regional scale whereas turnover was dominant at local scale. Extensions and shifts of bat elevational ranges were also found in Mt. Wilhelm. Consequently, despite that the study was restricted to one mountain in PNG, it demonstrates how basic inventory surveys can be used to address ecological questions in other similar and undisturbed tropical mountains.
data from "Temperate bats may alter calls to partially compensate for weather-induced changes in detection distance"
<p>Echolocation call parameters of three species of European bats collected between 2017-2019, recorded with a microphone array. This dataset is associated to the manuscript "Temperate bats may alter calls to partially compensate for weather-induced changes in detection distance". Included is the R script used for statistical analyses, as well as the R script used to model detection distances of different targets by bats across weather conditions.</p>
Record of seminole bats (Lasiurus seminolus) mating in spring
<p>Photo and video documentation of seminole bats (Lasiurus seminolus) mating. This occurred on 30 March 2022 at 20:14 CST, outside a residence on East Clamon County Rd in Hortense, TX, approximately 20 miles northeast of central Livingston, in Polk County. Photos and videos created by Tina Crichfield and licensed under CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International).</p>
Benign effects of logging on aerial insectivorous bats in Southeast Asia revealed by remote sensing technologies
<b>Description: </b><p>Number of bat calls recorded by SongMeter bat 2 detectors set to record continuously on a trigger. Counts are classified into 21 acoustic call types, including 13 species.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/101"><b>Impacts of forest modification on bats</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>UK Natural Environment Research Council (NERC) (Human Modified Tropical Forests programme & a PhD scholarship jointly funded by University of Kent & NERC & EnvEast DTP scholarship, NE/L002582/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Economic Planning Unit of the Malaysian Government and the Sabah Biodiversity Council (Research licence UPE: 40/200/19/2723)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=7740421">here</a></p><p><b>Files: </b>This consists of 1 file: SAFE_data_archive_Yoh2.xlsx</p><p><b>SAFE_data_archive_Yoh2.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>All data </b> (described in worksheet MasterData)</p><p>Description: All auto and manual identifications for bat passes across a disturbance gradient, identified to functional group or species when possible</p><p>Number of fields: 13</p><p>Number of data rows: 134920</p><p>Fields: </p><ul><li><b>LOCATION</b>: Where the data was collected (Field type: location)</li><li><b>DATE</b>: Date surveyed (Field type: date)</li><li><b>TIME</b>: Time of recording (Field type: time)</li><li><b>AUTO_ID</b>: Taxa as identified using the automatic classifier (Field type: taxa)</li><li><b>ACCURACY</b>: Confidence value for auto identification results (Field type: numeric)</li><li><b>THRESLEVEL</b>: Whether the data met the desired auto-identification confidence value (Field type: categorical)</li><li><b>MANUAL_ID_CLEAN</b>: Taxa as identified manually (Field type: taxa)</li><li><b>FINAL_ID</b>: Final taxa label considering both the auto and manual ID (Field type: taxa)</li><li><b>TREATMENT</b>: Habitat type (Field type: categorical)</li><li><b>fc_100m</b>: Forest extent within 100m buffer of the survey location (Field type: numeric)</li><li><b>chm_100m</b>: Average canopy height within 100m buffer from survey location (Field type: numeric)</li><li><b>shape_100m</b>: Forest shape within 100m buffer of survey location (Field type: numeric)</li><li><b>TRI_100m</b>: Topographic ruggedness within 100m buffer of survey location (Field type: numeric)</li></ul></li></ol><p><b>Date range: </b>2011-04-01 to 2012-06-30</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Chiroptera <br> -  -  -  -  -  [CF_CROB] <br> -  -  -  -  -  [CF_H140] <br> -  -  -  -  -  [FMQCF1] <br> -  -  -  -  -  [FMQCF2] <br> -  -  -  -  -  [FMQCF3] <br> -  -  -  -  -  [FMQCF4] <br> -  -  -  -  -  [FMQCF5] <br> -  -  -  -  -  [FMQCF6] <br> -  -  -  -  -  [QCF] <br> -  -  -  -  -  [FM] <br> -  -  -  -  -  Rhinolophidae <br> -  -  -  -  -  -  <i>Rhinolophus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus acuminatus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus affinis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus borneensis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus creaghi</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus luctus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus philippinensis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus sedulus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus trifoliatus</i> <br> -  -  -  -  -  Hipposideridae <br> -  -  -  -  -  -  <i>Hipposideros</i> <br> -  -  -  -  -  -  -  <i>Hipposideros ater</i> <br> -  -  -  -  -  -  -  <i>Hipposideros cervinus</i> <br> -  -  -  -  -  -  -  <i>Hipposideros diadema</i> <br> -  -  -  -  -  -  -  <i>Hipposideros galeritus</i> <br> -  -  -  -  -  -  -  <i>Hipposideros ridleyi</i> <br></div><p></p>
Invariant echo localization using bat pinnae
<p>This dataset works with the scripts provided in the GitHub repository in the link:<br> https://github.com/zaco87/Paper-Invariance-Localization</p> <p>matlab_variables_data.mat - should be loaded to Matlab. It has the entire data that is needed for running the Matlab programs provided with the paper's repository on GitHub</p> <p> </p>
Data from: One model to rule them all: Identifying priority bat habitats from multi‐species habitat suitability models
<p>Bats are important components of global ecosystems, providing essential ecosystem services with substantial economic benefit. Yet North American bat populations have been negatively affected by numerous factors (e.g., disease, habitat loss, and wind energy development) with compounding effects. Bats use habitats at a variety of scales, from small, isolated patches to large, contiguous corridors. Landscape‐level research is necessary to identify important habitats, patches, and corridors to strategically target management interventions. We created habitat suitability models (HSMs) for hoary bats (<em>Lasiurus cinereus</em>), eastern red bats (<em>L. borealis</em>), and tri‐colored bats (<em>Perimyotis subflavus</em>) across Illinois, USA using species-specific landscape and climate variables. With the 3 models from this study and a previously published HSM for Indiana bats (<em>Myotis sodalis</em>), we stacked binary HSMs, thereby identifying priority conservation areas across Illinois. Species exhibited different distributional patterns and habitat preferences across Illinois. Multi‐species HSMs highlight high quality habitat (i.e., ecologically important habitat that provides preferred resources for roosting, foraging, and raising young) in southern Illinois and along river riparian areas. This approach identified priority conservation areas mainly following hydrologic zones, which allows managers to strategically target restoration and conservation measures, invest funds in habitat likely to have high return‐on‐investment, and assist with decisions that affect bats (e.g., siting wind turbines and purchasing mitigation lands). </p>
Data from: Bat activity is related to habitat type and structure in managed pine barrens in New England
<p><strong>Background. </strong>Several insectivorous bat species are found in New England, yet research on them is still scarce. Current research shows the ecological importance of bats due to their control of insect populations, but they are endangered by habitat loss and White Nose Syndrome, among other threats. Pine barrens are an uncommon ecosystem found in New England that supports other rare taxa and could be important for these bat species.</p> <p><strong>Methods. </strong>With hand-held audio recorders, we surveyed for bats in Montague Plains Wildlife Management Area in Massachusetts and Concord Pine Barrens in New Hampshire in June 2022. Our study objectives were to 1) describe the most common bat species and 2) compare bat activity across different habitat types at two managed pine barrens in New England. In particular, we examined bat activity related to habitat type (scrub oak, mature pitch pine, treated pitch pine, hardwood forest), habitat structure (i.e., canopy closure), and time since prescribed fire. We analyzed our data through linear mixed effects modeling and Fisher’s exact tests.</p> <p><strong>Results. </strong>Overall, we were able to measure the presence of five out of the nine total species found in the area, including the endangered <em>Myotis lucifugus</em> (little brown bat). We recorded 293 bat calls, with the majority of calls from big brown bats (71%). We found significant differences (P < 0.05) in bat activity in relation to habitat types and structure. The index of bat activity was greatest in pitch pine and hardwood forests and lowest in scrub oak and treated pitch pine habitats. With preliminary data, we also found that there was more bat activity in areas that had not been burned recently.</p> <p><strong>Discussion.</strong> These findings demonstrate the importance of pine barrens as an ecosystem that supports bats in New England. According to the activity of bats in our study, closed canopy and mature pitch pine habitats may be prioritized in conservation efforts at managed barrens for bat species. Further research is recommended to better understand the relationship between prescribed fires, which are common in managed barrens, and bat activity.</p>
The response behaviour of bats to motion-controlled LED lighting of bicycle trails
<p>Increasing illumination of bicycle trails at night can have an impact on nocturnal animals such as bats. We asked whether motion-triggered LED lights may reduce the negative impact on bats. On a newly LED-lit bicycle trail, we measured the flight and hunting activity of bats in response to LED lighting that was switched on for 40 s when cyclists passed by. In addition, we investigated flight movements of bats close to lampposts with thermal imaging.</p> <p>The study area was located in the city of Münster, Germany, along a 1.5 km test stretch of a newly LED-lit bicycle trail. We selected 5 lampposts with a distance of 210 m to 300 m to each other along the trail that bordered different habitat types (open field, forest, forest/residential area, residential area, park). We equipped each of the 5 lampposts with an echolocation call detector and a light and temperature sensor. Acoustic bat activity was recorded automatically from about 15 minutes before sunset and after sunrise in parallel to light and temperature measurements at all sites simultaneously. Sites were sampled across three nights each during the reproduction season (June/July) and the migration season (August/September) 2022.</p> <p>To track individual bat movements, we used a thermal imaging camera-tracking system with two thermal imaging cameras. From the video recordings, we identified x-, y- and z-coordinates (3D-position) of individual bats. Nine 3D-tracks were recorded and the 18<sup>th</sup> of October 2022, while three tracks were recorded on the 19<sup>th</sup> of October 2022. All 3D-tracks were recorded while LED lights were off.</p>
Low conversion efficiency of flight power increases with speed in the migratory bat Nathusius' pipistrelle
<p>The efficiency with which flying animals convert metabolic fuel to mechanical power dictates an individual's flight behaviour and energy requirements. Despite the significance of this parameter, we lack empirical data on conversion efficiency for most species. Furthermore, the assumption that efficiency is constant across flight speeds has yet to be empirically confirmed, revealing a major outstanding question in animal flight. We show, through direct measurements of metabolic and aerodynamic power, that conversion efficiency in the migratory bat (<em>Pipistrellus nathusii</em>) increases with flight speed between 7.0 and 10.4%. Our findings suggest that peak conversion efficiency in this species occurs near maximum range speed, where the cost of transport is minimized. A meta-analysis of 16 bird and 8 bat species revealed a strong scaling relationship between estimated conversion efficiency and body mass, with no discernible differences between bats and birds. This has profound consequences for modelling flight behaviour as estimates assuming 23% efficiency underestimate flight costs for <em>P. nathusii</em> by almost 50% on average (36-62%). Our findings suggest that conversion efficiency may vary around an ecologically relevant optimum speed and provides a crucial baseline for investigating how this may drive the variation in conversion efficiency between species.</p>
The species coalescent indicates possible bat and pangolin origins of the COVID-19 pandemic
<p>A consensus species tree is reconstructed from 11 gene trees for human, bat, and pangolin beta coronaviruses from samples taken early in the pandemic (prior to April 1, 2020). Using coalescent theory, the shallow (short branches relative to the hosts) consensus species tree provides evidence of recent gene flow events between bat and pangolin beta coronaviruses predating the zoonotic transfer to humans. The consensus species tree was also used to reconstruct the ancestral sequence of human SARS-CoV-2, which was 2 nucleotides different from the Wuhan sequence. The time to most recent common ancestor was estimated to be Dec 8, 2019, with a bat origin. Some human, bat, and pangolin coronavirus lineages found in China are phylogenetically distinct, a rare example of a class II phylogeography pattern (Avise et al. in Ann Rev Eco Syst 18:489–422, 1987). The consensus species tree is a product of evolutionary factors, providing evidence of repeated zoonotic transfers between bat and pangolin as a reservoir for future zoonotic transfers to humans.</p>
Flexible use of visual and acoustic cues during roost finding in Spix's disc-winged bat Thyroptera tricolor
<p>The ability of an animal to detect environmental cues is crucial for its survival and fitness. In bats, sound certainly plays a significant role in the search for food, spatial navigation, and social communication. Yet, the efficiency of a bat's echolocation could be limited by atmospheric attenuation and background clutter. In this context, sound can be complemented by other sensory modalities, like smell or vision. Spix's disc-winged bat (<em>Thyroptera tricolor</em>) uses acoustic cues from other group members to locate the roost (tubular unfurled leaves of plants in the order Zingiberales). Our research focused on how individuals find a roost that has not been yet occupied, considering the urge to find a suitable leaf approximately every day, during nighttime or in daylight. We observed the process of roost finding in <em>T. tricolor</em> in a flight cage, manipulating the audio/visual sensory input available for each trial. A broadband noise was broadcast in order to mask echolocation, while experiments conducted at night significantly reduced the amount of light. We measured the time needed to locate the roost under these different conditions. Results show that with limited visual and acoustic cues, search time increases significantly. In contrast, bats seemed capable of using acoustic and visual cues in a similarly efficient manner, since roost search showed no strong differences in duration when bats could use only sound, only vision, or both senses at the same time. Our results show that non-acoustic inputs can still be an important source of information for finding critical resources in bats.</p>
Figure 2. Dental measurements taken from the left M and the right M1 in A New Species of Extinct False Vampire Bat (Megadermatidae: Macroderma) from the Kimberley Region of Western Australia
Figure 2. Dental measurements taken from the left M and the right M1, based on Hand (1985).
Figure 1 in A New Species of Extinct False Vampire Bat (Megadermatidae: Macroderma) from the Kimberley Region of Western Australia
Figure 1. Location of Dingo Gap (star) in the Kimberley region of Western Australia,
Data for: Dietary analysis reveals differences in the prey use of two sympatric bat species
<p>One mechanism for morphologically similar and sympatric species to avoid competition and facilitate coexistence is to feed on different prey items within different microhabitats. In the current study, we investigated and compared the diet of the two most common and similar-sized bat species in Japan – <em>Murina ussuriensis</em> (Ognev, 1913) and <em>Myotis ikonnikovi</em> (Ognev, 1912) – to gain more knowledge about the degree of overlap in their diet and their foraging behavior. We found that both bat species consumed prey from the orders of Lepidoptera and Diptera most frequently, while the proportion of Dipterans was higher in the diet of <em>M. ikonnikovi</em>. Furthermore, we found a higher prey diversity in the diet of <em>M. ikonnikovi</em> compared to that of <em>M. ussuriensis</em><em> </em>which might indicate that the former is a more generalist predator than the latter. In contrast, the diet of <em>M. ussuriensis</em> contained many Lepidopteran families. The higher probability of prey items likely captured via gleaning to occur in the diet of <em>M. ussuriensis</em> in contrast to <em>M. ikonnikovi</em> indicates that <em>M. ussuriensis</em> might switch between aerial-hawking and gleaning modes of foraging behavior. We encourage further studies across various types of habitats and seasons to investigate the flexibility of the diet composition and foraging habitat use of these two bat species.</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.