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.
41
datasets available to search
ShareScore release 0.7.1
Dataset results
41 results for “vocalisations”
FIGURE 12 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 12. Phrases of perch song of Uragus sibiricus (recorded by Michael Schubert, Stimmen der Vögel Zentralasiens, Eterna 1982, Mongolia, WestChentej, Tereldsh, June 1979).
Black Flying Squirrel (Aeromys Tephromelas) Vocalisation
<p>A black flying squirrel<em> (Aeromys tephromelas) </em>vocalisation recorded at the Rainforest Discovery Centre, Sepilok in Sabah Malaysia in March 2023. </p>
FIG. 3. Video stills showing B in CCTV enables the discovery of new barbastelle (Barbastella barbastellus) vocalisations and activity patterns near a roost
FIG. 3. Video stills showing B. barbastellus activity near the roost, the entrance of which is in the bottom third of the images. The bats are filmed with infrared light. A) A single bat investigates the roost tree, filmed from the side of the roost tree. This bat was moving slowly, and the image is sharp; B) Four swarming bats, filmed facing the roost entrance. As the bats move at speed when swarming, they appear blurred in a single video frame
FIG. 2 in CCTV enables the discovery of new barbastelle (Barbastella barbastellus) vocalisations and activity patterns near a roost
FIG. 2. Histogram showing the number of spectrograms associated with B. barbastellus swarming around a roost, produced for each time interval from June to September 2016
Data from: Vocalisations of killer whales (Orcinus orca) in the Bremer Canyon, Western Australia
Open the record for dataset details and reuse information.
Australian long-finned pilot whales (Globicephala melas) emit stereotypical, variable, biphonic, multi-component, and sequenced vocalisations, similar to those recorded in the northern hemisphere
<p>While in the northern hemisphere, many studies have been conducted on the vocal repertoire of long-finned pilot whales (<i>Globicephala melas</i>), no such study has been conducted in the southern hemisphere. Presented here, is the first study on the vocalisations of long-finned pilot whales along the southern coast of mainland Australia. Multiple measures were taken of<b> </b>2 028 vocalisations recorded over five years in several locations. These vocalisations included tonal sounds with and without overtones, sounds of burst-pulse character, graded sounds, biphonations, and calls of multiple components. Vocalisations were further categorised based on spectrographic features into 18 contour classes. Altogether, vocalisations ranged from approximately 200 Hz to 25 kHz in fundamental frequency and from 0.03 s to 2.07 s in duration. These measures compared well with those from northern hemisphere pilot whales. Some call types were almost identical to northern hemisphere vocalisations, even though the geographic ranges of the two populations are far apart. Other call types were unique to Australia. Striking similarities with calls of short-finned pilot whales (<i>Globicephala macrorhynchus</i>) and sometimes sympatric killer whales (<i>Orcinus orca</i>) were also found. Theories for call convergence and divergence are discussed.</p>
Data from: Does size matter? Examining the drivers of mammalian vocalisations
Previous studies of the vocalisation frequencies of mammals have suggested that it is either body mass or environment that drives these frequencies. Using 193 species across the globe from the terrestrial and aquatic environments and a model selection approach, we identified that the best supported model for minimum and maximum frequencies for vocalisation included both body mass and environment. The minimum frequencies of vocalisations of species from all environments retained the influence of body mass. For maximum frequency however, aquatic species are released from such a trend with body mass having little constraint on frequencies. Surprisingly, phylogeny did not have a strong impact on the evolution of the maximum frequency of mammal vocalisations, largely due to the pinniped species divergence of frequency from their carnivoran relatives. We demonstrate that the divergence of signal frequencies in mammals has arisen from the need to adapt to their environment.
FIGURE 6 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 6. Nearly fledged juvenile bird. Photograph Axel Gebauer (21/08/2002).
FIGURE 3 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 3. Adult male on Salix spec. (long tail!). Photograph Axel Gebauer (07/06/1990).
FIGURE 8 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 8. Flight song of U. pylzowi (recorded by Axel Gebauer, Qinghai Nanshan,19/06/1996).
FIGURE 1 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 1. Measurements of time and frequency parameters of U. pylzowi songs (see Table 2).
Data from: Does size matter? Examining the drivers of mammalian vocalisations
Open the record for dataset details and reuse information.
Data from: Pawsitively sad: pet-owners are more sensitive to negative emotion in animal distress vocalisations
Open the record for dataset details and reuse information.
Australian long-finned pilot whales (Globicephala melas) emit stereotypical, variable, biphonic, multi-component, and sequenced vocalisations, similar to those recorded in the northern hemisphere
Open the record for dataset details and reuse information.
The Effect of Nonverbal Vocalisations on Pain Tolerance
ClinicalTrials.gov study NCT04425395. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Vocalisation repertoire of female bluefin gurnard (Chelidonichthys kumu) in captivity: Sound structure, context and vocal activity
Open the record for dataset details and reuse information.
FIGURE 10 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 10. Song phrase of U. pylzowi, loud type (recorded by Axel Gebauer, Qinghai Nanshan,19/06/1996). * = syllable with sidebands; ** = double voiced syllables.
FIG. 1. Call spectrograms for B in CCTV enables the discovery of new barbastelle (Barbastella barbastellus) vocalisations and activity patterns near a roost
FIG. 1. Call spectrograms for B. barbastellus close to the roost. A) Standard pass echolocation, showing lower frequency type 1 and higher frequency type 2 pulses alternating, then followed by type 1 pulses only; B) Approach echolocation pulse group produced by a single bat approaching the roost tree entrance. In each case, pulse analysis was based on the central group of five pulses: pulses 3 to 7 from the left in this case. This example shows a group of lower frequency pulses on the far right, typical of a bat approaching the tree very closely; C) Swarming echolocation recorded with two bats in flight close to the roost. These are broadband pulses with second harmonics. Pulses do not appear in a fixed pattern as with approach echolocation, but tend to be produced in a dynamic group. It is not possible to determine from which bat successive pulses originated; D) Swarming honking recorded with five bats in flight round the roost tree. These are similar to swarming echolocation pulses but with a high amplitude quasi-constant frequency (QCF) tail, apparently to communicate with bats on a collision course; E) Hooked social calls recorded just before swarming activity with five bats. The straighter pulses next to the hooked calls were presumably produced by a different bat
FIGURE 5 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 5. Adult female (bunting like bill shape). Photograph Axel Gebauer (21/08/2002).
FIGURE 4 in Remarks on biology, vocalisations and systematics of Urocynchramus pylzowi Przewalski (Aves, Passeriformes)
FIGURE 4. Female on nest with eggs. Photograph Tilo Nadler (07/06/1990).
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.